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Ammirati E, Moroni F, Magnoni M, Rocca MA, Messina R, Anzalone N, De Filippis C, Scotti I, Besana F, Spagnolo P, Rimoldi OE, Chiesa R, Falini A, Filippi M, Camici PG. Extent and characteristics of carotid plaques and brain parenchymal loss in asymptomatic patients with no indication for revascularization. IJC HEART & VASCULATURE 2020; 30:100619. [PMID: 32904369 PMCID: PMC7452655 DOI: 10.1016/j.ijcha.2020.100619] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/26/2020] [Revised: 08/01/2020] [Accepted: 08/10/2020] [Indexed: 11/30/2022]
Abstract
BACKGROUND AND AIMS Extent of subclinical atherosclerosis has been associated with brain parenchymal loss in community-dwelling aged subjects. Identification of patient-related and plaque-related markers could identify subjects at higher risk of brain atrophy, independent of cerebrovascular accidents. Aim of the study was to investigate the relation between extent and characteristics of carotid plaques and brain atrophy in asymptomatic patients with no indication for revascularization. METHODS AND RESULTS Sixty-four patients (aged 69 ± 8 years, 45% females) with carotid stenosis <70% based on Doppler flow velocity were enrolled in the study. Potential causes of cerebral damage other than atherosclerosis, including history of atrial fibrillation, heart failure, previous cardiac or neurosurgery and neurological disorders were excluded. All subjects underwent carotid computed tomography angiography, contrast enhanced ultrasound for assessment of plaque neovascularization and brain magnetic resonance imaging for measuring brain volumes. On multivariate regression analysis, age and fibrocalcific plaques were independently associated with lower total brain volumes (β = -3.13 and β = -30.7, both p < 0.05). Fibrocalcific plaques were also independently associated with lower gray matter (GM) volumes (β = -28.6, p = 0.003). On the other hand, age and extent of carotid atherosclerosis were independent predictors of lower white matter (WM) volumes. CONCLUSIONS WM and GM have different susceptibility to processes involved in parenchymal loss. Contrary to common belief, our results show that presence of fibrocalcific plaques is associated with brain atrophy.
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Affiliation(s)
- Enrico Ammirati
- Vita-Salute University and San Raffaele Hospital, Milan, Italy
- De Gasperis Cardio Center, Niguarda Ca’ Granda Hospital, Milan, Italy
| | | | - Marco Magnoni
- Vita-Salute University and San Raffaele Hospital, Milan, Italy
| | - Maria A Rocca
- Vita-Salute University and Neuroimaging Research Unit, Institute of Experimental Neurology, and Division of Neuroscience, San Raffaele Scientific Institute, Milan, Italy
| | - Roberta Messina
- Vita-Salute University and Neuroimaging Research Unit, Institute of Experimental Neurology, and Division of Neuroscience, San Raffaele Scientific Institute, Milan, Italy
| | - Nicoletta Anzalone
- Vita-Salute University and Department of Neuroradiology, San Raffaele Scientific Institute, Milan, Italy
| | - Costantino De Filippis
- Vita-Salute University and Department of Neuroradiology, San Raffaele Scientific Institute, Milan, Italy
| | - Isabella Scotti
- Department of Rheumatology, Istituto Ortopedico Gaetano Pini, Milan, Italy
| | - Francesca Besana
- Cardiovascular Prevention Center, San Raffaele Institute, Milan, Italy
| | - Pietro Spagnolo
- Cardiovascular Prevention Center, San Raffaele Institute, Milan, Italy
- Unit of Radiology, IRCCS Policlinico San Donato, San Donato Milanese, Italy
| | | | - Roberto Chiesa
- Vita-Salute University and San Raffaele Hospital, Milan, Italy
| | - Andrea Falini
- Vita-Salute University and Department of Neuroradiology, San Raffaele Scientific Institute, Milan, Italy
| | - Massimo Filippi
- Vita-Salute University and Neuroimaging Research Unit, Institute of Experimental Neurology, and Division of Neuroscience, San Raffaele Scientific Institute, Milan, Italy
| | - Paolo G Camici
- Vita-Salute University and San Raffaele Hospital, Milan, Italy
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Veldsman M, Kindalova P, Husain M, Kosmidis I, Nichols TE. Spatial distribution and cognitive impact of cerebrovascular risk-related white matter hyperintensities. Neuroimage Clin 2020; 28:102405. [PMID: 32971464 PMCID: PMC7511743 DOI: 10.1016/j.nicl.2020.102405] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/12/2020] [Revised: 08/03/2020] [Accepted: 08/25/2020] [Indexed: 02/01/2023]
Abstract
OBJECTIVES White matter hyperintensities (WMHs) are considered macroscale markers of cerebrovascular burden and are associated with increased risk of vascular cognitive impairment and dementia. However, the spatial location of WMHs has typically been considered in broad categories of periventricular versus deep white matter. The spatial distribution of WHMs associated with individual cerebrovascular risk factors (CVR), controlling for frequently comorbid risk factors, has not been systematically investigated at the population level in a healthy ageing cohort. Furthermore, there is an inconsistent relationship between total white matter hyperintensity load and cognition, which may be due to the confounding of several simultaneous risk factors in models based on smaller cohorts. METHODS We examined trends in individual CVR factors on total WMH burden in 13,680 individuals (aged 45-80) using data from the UK Biobank. We estimated the spatial distribution of white matter hyperintensities associated with each risk factor and their contribution to explaining total WMH load using voxel-wise probit regression and univariate linear regression. Finally, we explored the impact of CVR-related WMHs on speed of processing using regression and mediation analysis. RESULTS Contrary to the assumed dominance of hypertension as the biggest predictor of WMH burden, we show associations with a number of risk factors including diabetes, heavy smoking, APOE ε4/ε4 status and high waist-to-hip ratio of similar, or greater magnitude to hypertension. The spatial distribution of WMHs varied considerably with individual cerebrovascular risk factors. There were independent effects of visceral adiposity, as measured by waist-to-hip ratio, and carriage of the APOE ε4 allele in terms of the unique spatial distribution of CVR-related WMHs. Importantly, the relationship between total WMH load and speed of processing was mediated by waist-to-hip ratio suggesting cognitive consequences to WMHs associated with excessive visceral fat deposition. CONCLUSION Waist-to-hip ratio, diabetes, heavy smoking, hypercholesterolemia and homozygous APOE ε4 status are important risk factors, beyond hypertension, associated with WMH total burden and warrant careful control across ageing. The spatial distribution associated with different risk factors may provide important clues as to the pathogenesis and cognitive consequences of WMHs. High waist-to-hip ratio is a key risk factor associated with slowing in speed of processing. With global obesity levels rising, focused management of visceral adiposity may present a useful strategy for the mitigation of cognitive decline in ageing.
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Affiliation(s)
- Michele Veldsman
- Wellcome Centre for Integrative Neuroscience, Department of Experimental Psychology, University of Oxford, UK
| | | | - Masud Husain
- Wellcome Centre for Integrative Neuroscience, Department of Experimental Psychology, University of Oxford, UK
| | - Ioannis Kosmidis
- Department of Statistics, University of Warwick, UK; The Alan Turing Institute, London, UK
| | - Thomas E Nichols
- Department of Statistics, University of Warwick, UK; Big Data Institute, Nuffield Department of Population Health, University of Oxford, UK
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53
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Arvanitis P, Johansson AK, Frick M, Malmborg H, Gerovasileiou S, Larsson EM, Blomström-Lundqvist C. Serial Magnetic Resonance Imaging after Electrical Cardioversion of Recent Onset Atrial Fibrillation in Anticoagulant-Naïve Patients - A Prospective Study Exploring Clinically Silent Cerebral Lesions. J Atr Fibrillation 2020; 13:2271. [PMID: 34950290 DOI: 10.4022/jafib.2271] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/16/2019] [Revised: 12/27/2019] [Accepted: 01/06/2020] [Indexed: 11/10/2022]
Abstract
Background Patients with atrial fibrillation (AF) have a high incidence of cognitive impairment, which may be related to clinically silent microembolism causing cerebral infarctions. Objective To explore the occurrence and timing of silent brain lesions following electrical cardioversion (CV) of recent onset AF in anticoagulant-naïve patients and to study related effects on cognitive function and biomarkers of cerebral damage, S100b. Methods Patients with AF duration > 48 hours were prospectively included. Brain magnetic resonance imaging (MRI) and S100b, were obtained prior, after and 7-10 days following CV. Trail making tests (TMT-A and TMT-B) and their difference, ΔΤΜΤ, were assessed prior to CV, 7-10 days and 30 days after CV. Results Forty-three patients (84% males) with median CHA2DS2-VASc score 1 (interquartile range 0-1) were included. Sequential MRI, including diffusion weighted scans, showed no new brain lesions after CV. Chronic white matter hyperintensities were present at baseline in 21/43 (49%) patients. The S100b (µg/l) levels increased significantly from baseline, (mean ±SD) 0.0472±0.0182 to 0.0551±0.0185 after CV, p=0.001 and then decreased 7-10 days after CV to 0.0450±0.0186, p <.;0.001. Consecutive TMT scores improved successively after CV, being statistically and clinically significant for TMT-B (p<0.01) and ΔΤΜΤ (p=0.005) between 7-10 days and 30 days after CV (Reliable Change Index >1.96). Conclusions New brain lesions could not be detected on MRI after CV, but the high incidence of white matter hyperintensities and the transient increase in S100b may indicate transient or minor brain damage undetectable by MRI thus heightening the need to reevaluate thromboembolic risk prior to CV even in low risk patients.
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Affiliation(s)
- Panagiotis Arvanitis
- Department of Medical Science and Cardiology, Uppsala University, Uppsala, Sweden.,Joint primary authors
| | - Anna-Karin Johansson
- Stockholm South General Hospital, Department of Cardiology, Stockholm, Sweden.,Joint primary authors
| | - Mats Frick
- Stockholm South General Hospital, Department of Cardiology, Stockholm, Sweden
| | - Helena Malmborg
- Department of Medical Science and Cardiology, Uppsala University, Uppsala, Sweden
| | - Spyridon Gerovasileiou
- Department of Medical Sciences, Uppsala University, Clinical Physiology and Cardiology, Uppsala University Hospital, Uppsala, Sweden
| | - Elna-Marie Larsson
- Department of Surgical Science, Radiology, Uppsala University, Uppsala, Sweden
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54
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Haeger A, Mangin JF, Vignaud A, Poupon C, Grigis A, Boumezbeur F, Frouin V, Deverre JR, Sarazin M, Hertz-Pannier L, Bottlaender M. Imaging the aging brain: study design and baseline findings of the SENIOR cohort. ALZHEIMERS RESEARCH & THERAPY 2020; 12:77. [PMID: 32591008 PMCID: PMC7320588 DOI: 10.1186/s13195-020-00642-1] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 10/14/2019] [Accepted: 06/11/2020] [Indexed: 11/13/2022]
Abstract
Background Current demographic trends point towards an aging society entailing increasing occurrence and burden of neurodegenerative diseases. In this context, understanding physiological aging and its turning point into neurodegeneration is essential for the development of possible biomarkers and future therapeutics of brain disease. Methods The SENIOR study represents a longitudinal, observational study including cognitively healthy elderlies aged between 50 and 70 years old at the time of inclusion, being followed annually over 10 years. Our multimodal protocol includes structural, diffusion, functional, and sodium magnetic resonance imaging (MRI) at 3 T and 7 T, positron emission tomography (PET), blood samples, genetics, audiometry, and neuropsychological and neurological examinations as well as assessment of neuronal risk factors. Results One hundred forty-two participants (50% females) were enrolled in the SENIOR cohort with a mean age of 60 (SD 6.3) years at baseline. Baseline results with multiple regression analyses reveal that cerebral white matter lesions can be predicted by cardiovascular and cognitive risk factors and age. Cardiovascular risk factors were strongly associated with juxtacortical and periventricular lesions. Intra-subject across-test variability as a measure of neuropsychological test performance and possible cognitive marker predicts white matter volume and is significantly associated with risk profile. Division of the cohort into subjects with a higher and lower risk profile shows significant differences in intra-subject across-test variability and volumes as well as cortical thickness of brain regions of the temporal lobe. There is no difference between the lower- and higher-risk groups in amyloid load using PET data from a subset of 81 subjects. Conclusions We here describe the study protocol and baseline findings of the SENIOR observational study which aim is the establishment of integrated, multiparametric maps of normal aging and the identification of early biomarkers for neurodegeneration. We show that intra-subject across-test variability as a marker of neuropsychological test performance as well as age, gender, and combined risk factors influence neuronal decline as represented by decrease in brain volume, cortical thickness, and increase in white matter lesions. Baseline findings will be used as underlying basis for the further implications of aging and neuronal degeneration as well as examination of brain aging under different aspects of brain pathology versus physiological aging.
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Affiliation(s)
- Alexa Haeger
- NeuroSpin, Frédéric Joliot Life Sciences Institute, CEA, Paris-Saclay University, Gif-sur-Yvette, France.,Department of Neurology, RWTH Aachen University, Aachen, Germany.,JARA-BRAIN Institute Molecular Neuroscience and Neuroimaging, Forschungszentrum Jülich GmbH and RWTH Aachen University, Aachen, Germany
| | - Jean-François Mangin
- NeuroSpin, Frédéric Joliot Life Sciences Institute, CEA, Paris-Saclay University, Gif-sur-Yvette, France
| | - Alexandre Vignaud
- NeuroSpin, Frédéric Joliot Life Sciences Institute, CEA, Paris-Saclay University, Gif-sur-Yvette, France
| | - Cyril Poupon
- NeuroSpin, Frédéric Joliot Life Sciences Institute, CEA, Paris-Saclay University, Gif-sur-Yvette, France
| | - Antoine Grigis
- NeuroSpin, Frédéric Joliot Life Sciences Institute, CEA, Paris-Saclay University, Gif-sur-Yvette, France
| | - Fawzi Boumezbeur
- NeuroSpin, Frédéric Joliot Life Sciences Institute, CEA, Paris-Saclay University, Gif-sur-Yvette, France
| | - Vincent Frouin
- NeuroSpin, Frédéric Joliot Life Sciences Institute, CEA, Paris-Saclay University, Gif-sur-Yvette, France
| | - Jean-Robert Deverre
- NeuroSpin, Frédéric Joliot Life Sciences Institute, CEA, Paris-Saclay University, Gif-sur-Yvette, France
| | - Marie Sarazin
- Unit of Neurology of Memory and Language, GHU Paris Psychiatry and Neurosciences, Paris University, Paris, France.,Paris-Saclay University, CEA, CNRS, INSERM, BioMaps, Service Hospitalier Frédéric Joliot, F-91400, Orsay, France
| | - Lucie Hertz-Pannier
- NeuroSpin, Frédéric Joliot Life Sciences Institute, CEA, Paris-Saclay University, Gif-sur-Yvette, France
| | - Michel Bottlaender
- NeuroSpin, Frédéric Joliot Life Sciences Institute, CEA, Paris-Saclay University, Gif-sur-Yvette, France. .,Paris-Saclay University, CEA, CNRS, INSERM, BioMaps, Service Hospitalier Frédéric Joliot, F-91400, Orsay, France.
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55
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An Asymptomatic Patient with an Additional Cardiac Chamber Giant Left Atrial Appendage. Case Rep Cardiol 2020; 2020:6519089. [PMID: 32089897 PMCID: PMC7029285 DOI: 10.1155/2020/6519089] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/06/2019] [Accepted: 12/24/2019] [Indexed: 12/04/2022] Open
Abstract
We present the case of an asymptomatic 54-year-old male, referred to our department for a follow-up cardiological consultation. Echocardiography assessment showed an unknown cavity adjacent to the lateral wall of the left ventricle. A large left atrial appendage was revealed in further investigations, and the treatment option was proved to be an impasse.
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56
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Markousis-Mavrogenis G, Mitsikostas DD, Koutsogeorgopoulou L, Dimitroulas T, Katsifis G, Argyriou P, Apostolou D, Velitsista S, Vartela V, Manolopoulou D, Tektonidou MG, Kolovou G, Kitas GD, Sfikakis PP, Mavrogeni SI. Combined Brain-Heart Magnetic Resonance Imaging in Autoimmune Rheumatic Disease Patients with Cardiac Symptoms: Hypothesis Generating Insights from a Cross-sectional Study. J Clin Med 2020; 9:jcm9020447. [PMID: 32041234 PMCID: PMC7074384 DOI: 10.3390/jcm9020447] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/22/2020] [Revised: 01/30/2020] [Accepted: 01/31/2020] [Indexed: 12/22/2022] Open
Abstract
BACKGROUND Autoimmune rheumatic diseases (ARDs) may affect both the heart and the brain. However, little is known about the interaction between these organs in ARD patients. We asked whether brain lesions are more frequent in ARD patients with cardiac symptoms compared with non-ARD patients with cardiovascular disease (CVD). METHODS 57 ARD patients with mean age of 48 ± 13 years presenting with shortness of breath, chest pain, and/or palpitations, and 30 age-matched disease-controls with non-autoimmune CVD, were evaluated using combined brain-heart magnetic resonance imaging (MRI) in a 1.5T system. RESULTS 52 (91%) ARD patients and 16 (53%) controls had white matter hyperintensities (p < 0.001) in at least one brain area (subcortical/deep/periventricular white matter, basal ganglia, pons, brainstem, or mesial temporal lobe). Only the frequency and number of subcortical and deep white matter lesions were significantly greater in ARD patients (p < 0.001 and 0.014, respectively). ARD vs. control status was the only independent predictor of having any brain lesion. Specifically for deep white matter lesions, each increase in ECV independently predicted a higher number of lesions [odds ratio (95% confidence interval): 1.16 (1.01-1.33), p = 0.031] in ordered logistic regression. Penalized logistic regression selected only ARD vs. control status as the most important feature for predicting whether brain lesions were present on brain MRI (odds ratio: 5.46, marginal false discovery rate = 0.011). CONCLUSIONS Subclinical brain involvement was highly prevalent in this cohort of ARD patients and was mostly independent of the severity of cardiac involvement. However, further research is required to determine the clinical relevance of these findings.
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Affiliation(s)
| | - Dimos D. Mitsikostas
- First Neurology Department, National and Kapodistrian University of Athens, 10679 Athens, Greece;
| | | | - Theodoros Dimitroulas
- Department of Rheumatology, Aristotle University of Thessaloniki, 54124 Thessaloniki, Greece;
| | - Gikas Katsifis
- Rheumatology Department, Naval Hospital, 11521 Athens, Greece;
| | - Panayiotis Argyriou
- MRI Unit, Mediterraneo Hospital, 16675 Athens, Greece; (P.A.); (D.A.); (S.V.)
| | - Dimitrios Apostolou
- MRI Unit, Mediterraneo Hospital, 16675 Athens, Greece; (P.A.); (D.A.); (S.V.)
| | - Stella Velitsista
- MRI Unit, Mediterraneo Hospital, 16675 Athens, Greece; (P.A.); (D.A.); (S.V.)
| | - Vasiliki Vartela
- Onassis Cardiac Surgery Center, 17674 Athens, Greece; (G.M.-M.); (V.V.); (D.M.); (G.K.)
| | - Dionysia Manolopoulou
- Onassis Cardiac Surgery Center, 17674 Athens, Greece; (G.M.-M.); (V.V.); (D.M.); (G.K.)
| | - Maria G. Tektonidou
- First Department of Propaedeutic and Internal Medicine, Laikon Hospital, National and Kapodistrian University of Athens, 11527 Athens, Greece; (M.G.T.); (P.P.S.)
| | - Genovefa Kolovou
- Onassis Cardiac Surgery Center, 17674 Athens, Greece; (G.M.-M.); (V.V.); (D.M.); (G.K.)
| | - George D. Kitas
- Arthritis Research UK Epidemiology Unit, Manchester University, Manchester M13 9PT, UK;
| | - Petros P. Sfikakis
- First Department of Propaedeutic and Internal Medicine, Laikon Hospital, National and Kapodistrian University of Athens, 11527 Athens, Greece; (M.G.T.); (P.P.S.)
| | - Sophie I. Mavrogeni
- Onassis Cardiac Surgery Center, 17674 Athens, Greece; (G.M.-M.); (V.V.); (D.M.); (G.K.)
- Correspondence: ; Tel./Fax: +30-210-98-82-797
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Kong TS, Gratton C, Low KA, Tan CH, Chiarelli AM, Fletcher MA, Zimmerman B, Maclin EL, Sutton BP, Gratton G, Fabiani M. Age-related differences in functional brain network segregation are consistent with a cascade of cerebrovascular, structural, and cognitive effects. Netw Neurosci 2020; 4:89-114. [PMID: 32043045 PMCID: PMC7006874 DOI: 10.1162/netn_a_00110] [Citation(s) in RCA: 22] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/23/2019] [Accepted: 09/21/2019] [Indexed: 01/09/2023] Open
Abstract
Age-related declines in cognition are associated with widespread structural and functional brain changes, including changes in resting-state functional connectivity and gray and white matter status. Recently we have shown that the elasticity of cerebral arteries also explains some of the variance in cognitive and brain health in aging. Here, we investigated how network segregation, cerebral arterial elasticity (measured with pulse-DOT-the arterial pulse based on diffuse optical tomography) and gray and white matter status jointly account for age-related differences in cognitive performance. We hypothesized that at least some of the variance in brain and cognitive aging is linked to reduced cerebrovascular elasticity, leading to increased cortical atrophy and white matter abnormalities, which, in turn, are linked to reduced network segregation and decreases in cognitive performance. Pairwise comparisons between these variables are consistent with an exploratory hierarchical model linking them, especially when focusing on association network segregation (compared with segregation in sensorimotor networks). These findings suggest that preventing or slowing age-related changes in one or more of these factors may induce a neurophysiological cascade beneficial for preserving cognition in aging.
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Affiliation(s)
- Tania S. Kong
- Beckman Institute, University of Illinois at Urbana-Champaign, IL, USA
- Psychology Department, University of Illinois at Urbana-Champaign, IL, USA
| | - Caterina Gratton
- Department of Psychology, Northwestern University, IL, USA
- Department of Neurology, Northwestern University, IL, USA
| | - Kathy A. Low
- Beckman Institute, University of Illinois at Urbana-Champaign, IL, USA
| | - Chin Hong Tan
- Beckman Institute, University of Illinois at Urbana-Champaign, IL, USA
- Division of Psychology, Nanyang Technological University, Singapore
- Department of Pharmacology, National University of Singapore, Singapore
| | - Antonio M. Chiarelli
- Beckman Institute, University of Illinois at Urbana-Champaign, IL, USA
- Department of Neuroscience, Imaging and Clinical Sciences, University G. D’Annunzio of Chieti-Pescara, Chieti, Italy
| | - Mark A. Fletcher
- Beckman Institute, University of Illinois at Urbana-Champaign, IL, USA
| | | | - Edward L. Maclin
- Beckman Institute, University of Illinois at Urbana-Champaign, IL, USA
| | - Bradley P. Sutton
- Beckman Institute, University of Illinois at Urbana-Champaign, IL, USA
- Department of Bioengineering, University of Illinois at Urbana-Champaign, IL, USA
| | - Gabriele Gratton
- Beckman Institute, University of Illinois at Urbana-Champaign, IL, USA
- Psychology Department, University of Illinois at Urbana-Champaign, IL, USA
| | - Monica Fabiani
- Beckman Institute, University of Illinois at Urbana-Champaign, IL, USA
- Psychology Department, University of Illinois at Urbana-Champaign, IL, USA
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Wouts L, van Kessel M, Beekman AT, Marijnissen RM, Oude Voshaar RC. Empirical support for the vascular apathy hypothesis: A structured review. Int J Geriatr Psychiatry 2020; 35:3-11. [PMID: 31617249 PMCID: PMC6916153 DOI: 10.1002/gps.5217] [Citation(s) in RCA: 26] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/29/2019] [Accepted: 09/15/2019] [Indexed: 01/02/2023]
Abstract
OBJECTIVES A systematic review of the relationship between subclinical small vessel disease (SSVD) in the general population and apathy to examine the hypothesis that apathy has a vascular basis. METHODS We searched for studies on associations between apathy and SSVD, operationalized as white matter hyperintensities (WMH) or white matter diffusivity changes, lacunar infarcts, cerebral microbleeds, decreasing cortical thickness, and perivascular spaces, while also peripheral proxies for SSVD were considered, operationalized as ankle brachial pressure index (ABI), intima media thickness, arterial stiffness, cardio-femoral pulse wave velocity, hypertension, or cardiovascular disease. Only eligible retrospective and prospective observational studies conducted in the general population were included. RESULTS The 14 studies eligible for review examined the associations between apathy and hypertension (3), ABI (1), arterial stiffness (1), cardiovascular disease (2), WMH (3), white matter diffusivity (2), cerebral microbleeds (1), or cortical thickness (3). Arterial stiffness and white matter diffusivity were not related to apathy, while the associations with cortical thickness were contradictory. Cross-sectional studies in the general population did find evidence of apathy being associated with WMH, CM, cardiovascular disease, hypertension, and ABI, and cardiovascular disease was prospectively associated with apathy. The methodologies of the studies reviewed were too heterogeneous to perform meta-analyses. CONCLUSIONS Although more prospective evidence is needed and vascular depression needs to be controlled for, cardiovascular disease, hypertension, and ABI as proxies for SSVD, and WMH and cerebral microbleeds as direct measures of SSVD have been found to be associated with apathy in the general population, supporting the hypothesis of vascular apathy.
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Affiliation(s)
- Lonneke Wouts
- Pro PersonaMental Health InstituteThe Netherlands,Department of PsychiatryUniversity Medical Center Groningen (UMCG)GroningenThe Netherlands
| | | | - Aartjan T.F. Beekman
- GGZinGeestMental Health InstituteAmsterdamThe Netherlands,Department of PsychiatryAmsterdam University Medical CentreAmsterdamThe Netherlands
| | - Radboud M. Marijnissen
- Pro PersonaMental Health InstituteThe Netherlands,Department of PsychiatryUniversity Medical Center Groningen (UMCG)GroningenThe Netherlands
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Linz D, Ammirati E, Dan GA, Heijman J, Dobrev D. Highlights from the International Journal of Cardiology Heart & Vasculature: Heart failure, atrial fibrillation, coronary artery disease and myocardial infarction. IJC HEART & VASCULATURE 2020; 25:100443. [PMID: 31890863 PMCID: PMC6923494 DOI: 10.1016/j.ijcha.2019.100443] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/08/2019] [Accepted: 11/08/2019] [Indexed: 01/20/2023]
Affiliation(s)
- Dominik Linz
- Department of Cardiology, Maastricht University Medical Centre and Cardiovascular Research Institute Maastricht, The Netherlands.,Department of Cardiology, Radboud University Medical Centre, Nijmegen, The Netherlands.,Centre for Heart Rhythm Disorders, University of Adelaide and Royal Adelaide Hospital, Adelaide, Australia
| | - Enrico Ammirati
- De Gasperis Cardio Center and Transplant Center, Niguarda Hospital, Milano, Italy
| | - Gheorghe-Andrei Dan
- "Carol Davila" University of Medicine, Colentina University Hospital - Cardiology Department, Bucharest, Romania
| | - Jordi Heijman
- Department of Cardiology, Maastricht University Medical Centre and Cardiovascular Research Institute Maastricht, The Netherlands
| | - Dobromir Dobrev
- Institute of Pharmacology, West German Heart and Vascular Centre, University Duisburg-Essen, Essen, Germany
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Wang DQ, Wang L, Wei MM, Xia XS, Tian XL, Cui XH, Li X. Relationship Between Type 2 Diabetes and White Matter Hyperintensity: A Systematic Review. Front Endocrinol (Lausanne) 2020; 11:595962. [PMID: 33408693 PMCID: PMC7780232 DOI: 10.3389/fendo.2020.595962] [Citation(s) in RCA: 37] [Impact Index Per Article: 9.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/18/2020] [Accepted: 11/18/2020] [Indexed: 01/14/2023] Open
Abstract
White matter (WM) disease is recognized as an important cause of cognitive decline and dementia. White matter lesions (WMLs) appear as white matter hyperintensities (WMH) on T2-weighted magnetic resonance imaging (MRI) scans of the brain. Previous studies have shown that type 2 diabetes (T2DM) is associated with WMH. In this review, we reviewed the literature on the relationship between T2DM and WMH in PubMed and Cochrane over the past five years and explored the possible links among the presence of T2DM, the course or complications of diabetes, and WMH. We found that: (1) Both from a macro- and micro-scopic point of view, most studies support the relationship of a larger WMH and a decrease in the integrity of WMH in T2DM; (2) From the relationship between brain structural changes and cognition in T2DM, the poor performance in memory, attention, and executive function tests associated with abnormal brain structure is consistent; (3) Diabetic microangiopathy or peripheral neuropathy may be associated with WMH, suggesting that the brain may be a target organ for T2DM microangiopathy; (4) Laboratory markers such as insulin resistance and fasting insulin levels were significantly associated with WMH. High HbA1c and high glucose variability were associated with WMH but not glycemic control.
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Affiliation(s)
- Dan-Qiong Wang
- Department of General Medical, Shanxi Bethune Hospital Shanxi Academy of Medical Sciences, Taiyuan, China
- Department of Neurology, The Second Hospital of Tianjin Medical University, Tianjin, China
| | - Lei Wang
- Department of General Medical, Shanxi Bethune Hospital Shanxi Academy of Medical Sciences, Taiyuan, China
| | - Miao-Miao Wei
- Department of Neurology, The Second Hospital of Tianjin Medical University, Tianjin, China
| | - Xiao-Shuang Xia
- Department of Neurology, The Second Hospital of Tianjin Medical University, Tianjin, China
| | - Xiao-Lin Tian
- Department of Neurology, The Second Hospital of Tianjin Medical University, Tianjin, China
| | - Xiao-Hong Cui
- Department of Psychiatry, Shanxi Bethune Hospital Shanxi Academy of Medical Sciences, Taiyuan, China
| | - Xin Li
- Department of Neurology, The Second Hospital of Tianjin Medical University, Tianjin, China
- *Correspondence: Xin Li,
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Abstract
BACKGROUND White matter hyperintensities (WMHs) observed on magnetic resonance images are associated with depression and increase the risk of stroke, dementia, and death. The association between physical activity and WMHs has been inconsistently reported in the literature, perhaps because studies did not account for a lifetime of physical activity or depression. OBJECTIVES The aim of this study was to determine the extent to which a lifetime of leisure-time physical activity is associated with less WMHs while accounting for depression. METHODS Face-to-face interviews were conducted with the Lifetime Total Physical Activity Questionnaire, where the metabolic equivalent of task hours per week per year was calculated. Cognitively intact participants also underwent magnetic resonance imaging, where WMHs as a percentage of intracranial volume was obtained. Hierarchical multiple linear regression was performed to compare WMHs in a more active group with a group with no psychiatric history (n = 20, mean age = 62.2 years), with a less active group with no psychiatric history (n = 13, mean age = 64.0 years), and a less active group with history of late-onset depression (n = 14, mean age = 62.8 years). RESULTS There was not a statistically significant difference in WMHlg10 between the more and less active groups without a psychiatric history (b = .09, p > .05) or between the more active group without a psychiatric history and the less active group with a history of depression (b = .01, p > .05). The model was predictive of WMHlg10, explaining an adjusted 15% of the variance in WMHs (p = .041). DISCUSSION A lifetime of leisure-time physical activity was not associated with WMHs when accounting for depression.
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Al‐Khazraji BK, Badrov MB, Kadem M, Lingum NR, Birmingham TB, Shoemaker JK. Exploring Cerebrovascular Function in Osteoarthritis: "Heads-up". Physiol Rep 2019; 7:e14212. [PMID: 31660705 PMCID: PMC6817995 DOI: 10.14814/phy2.14212] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/25/2019] [Revised: 07/26/2019] [Accepted: 07/30/2019] [Indexed: 11/24/2022] Open
Abstract
Individuals with osteoarthritis (OA) are at greater risk of cardiovascular and cerebrovascular incidents; yet, cerebrovascular control remains uncharacterized. Our primary outcome was to acquire cerebrovascular control metrics in patients with OA and compare measures to healthy control adults (CTL) without OA or cardiovascular complications. Our primary covariate was a 10-year risk factor for cardiovascular and stroke incidents, and secondary covariates were other cardiovascular disease risk factors (i.e., body mass index, carotid intima media thickness, and brachial flow-mediated dilation). Our secondary outcomes were to assess anatomical and functional changes that may be related to cerebrovascular reactivity were also acquired such as white matter lesion volume and brief cognitive assessments. In 25 adults (n = 13 CTL, n = 12 OA), under hypercapnia, magnetic resonance imaging (3T) was used to acquire a "Global Cerebrovascular Reactivity" index across the larger intracranial cerebral arteries and white matter lesions, and transcranial Doppler was used for both middle cerebral artery hemodynamic responses to hypercapnia and to assess autoregulation via a sit-to-stand task. Compared to CTL, OA had lower "Global Cerebrovascular Reactivity" index responses to hypercapnia, autoregulatory responses, and greater white matter lesions (P < 0.05). These differences persisted after covarying for the outlined primary and secondary covariates. Patients with OA, in the absence of known cardiovascular disease, can exhibit pre-clinical and impaired (compared to CTL) peripheral and cerebrovascular control metrics.
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Affiliation(s)
- Baraa K. Al‐Khazraji
- School of Kinesiology, Faculty of Health SciencesWestern UniversityLondonOntarioCanada
- Bone and Joint InstituteWestern UniversityLondonOntarioCanada
| | - Mark B. Badrov
- School of Kinesiology, Faculty of Health SciencesWestern UniversityLondonOntarioCanada
| | - Mason Kadem
- Brain and Mind InstituteWestern UniversityLondonOntarioCanada
| | - Navena R. Lingum
- School of Kinesiology, Faculty of Health SciencesWestern UniversityLondonOntarioCanada
| | - Trevor B. Birmingham
- School of Physical TherapyFaculty of Health SciencesWestern OntarioLondon, OntarioCanada
- Bone and Joint InstituteWestern UniversityLondonOntarioCanada
| | - Joel Kevin Shoemaker
- School of Kinesiology, Faculty of Health SciencesWestern UniversityLondonOntarioCanada
- Bone and Joint InstituteWestern UniversityLondonOntarioCanada
- Department of Physiology and Pharmacology, Schulich School of Medicine and DentistryWestern UniversityLondonOntarioCanada
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63
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Johnson EL, Krauss GL, Lee AK, Schneider ALC, Kucharska-Newton AM, Huang J, Jack CR, Gottesman RF. Association between white matter hyperintensities, cortical volumes, and late-onset epilepsy. Neurology 2019; 92:e988-e995. [PMID: 30804067 DOI: 10.1212/wnl.0000000000007010] [Citation(s) in RCA: 20] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/31/2018] [Accepted: 10/25/2018] [Indexed: 12/12/2022] Open
Abstract
OBJECTIVE To identify the association between brain vascular changes and cortical volumes on MRI and late-onset epilepsy. METHODS In 1993-1995, 1,920 participants (median age 62.7, 59.9% female) in the community-based Atherosclerosis Risk in Communities (ARIC) Study underwent MRI, and white matter hyperintensities were measured. In addition, in 2011-2013, 1,964 ARIC participants (median age 72.4, 61.1% female) underwent MRI, and cortical volumes and white matter hyperintensities were measured. We identified cases of late-onset epilepsy (starting at age 60 or later) from ARIC hospitalization records and Medicare claims data. Using the 1993-1995 MRI, we evaluated the association between white matter hyperintensities and subsequent epilepsy using survival analysis. We used the 2011-2013 MRI to conduct cross-sectional logistic regression to examine the association of cortical volumes and white matter hyperintensities with late-onset epilepsy. All models were adjusted for demographics, hypertension, diabetes, smoking, and APOE ε4 allele status. RESULTS Ninety-seven ARIC participants developed epilepsy after having an MRI in 1993-1995 (incidence 3.34 per 1,000 person-years). The degree of white matter hyperintensities measured at ages 49-72 years was associated with the risk of late-onset epilepsy (hazard ratio 1.27 per age-adjusted SD, 95% confidence interval [CI] 1.06-1.54). Lower cortical volume scores were associated cross-sectionally with higher odds of late-onset epilepsy (odds ratio 1.87, 95% CI 1.16-3.02) per age-adjusted SD. CONCLUSIONS This study demonstrates associations between earlier-life white matter hyperintensities on MRI and later-life incident epilepsy, and between cortical volumes measured later in life and late-onset epilepsy. These findings may help illuminate the causes of late-onset epilepsy.
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Affiliation(s)
- Emily L Johnson
- From the Department of Neurology (E.L.J., G.L.K., A.L.C.S., R.F.G.), Johns Hopkins University School of Medicine; Department of Epidemiology (A.K.L., R.F.G.), Johns Hopkins School of Public Health, Baltimore, MD; Department of Epidemiology (A.M.K.-N.), University of North Carolina at Chapel Hill; Department of Neurology (J.H.), University of Mississippi Medical Center, Jackson; and Department of Radiology (C.R.J.), Mayo Clinic, Rochester, MN.
| | - Gregory L Krauss
- From the Department of Neurology (E.L.J., G.L.K., A.L.C.S., R.F.G.), Johns Hopkins University School of Medicine; Department of Epidemiology (A.K.L., R.F.G.), Johns Hopkins School of Public Health, Baltimore, MD; Department of Epidemiology (A.M.K.-N.), University of North Carolina at Chapel Hill; Department of Neurology (J.H.), University of Mississippi Medical Center, Jackson; and Department of Radiology (C.R.J.), Mayo Clinic, Rochester, MN
| | - Alexandra K Lee
- From the Department of Neurology (E.L.J., G.L.K., A.L.C.S., R.F.G.), Johns Hopkins University School of Medicine; Department of Epidemiology (A.K.L., R.F.G.), Johns Hopkins School of Public Health, Baltimore, MD; Department of Epidemiology (A.M.K.-N.), University of North Carolina at Chapel Hill; Department of Neurology (J.H.), University of Mississippi Medical Center, Jackson; and Department of Radiology (C.R.J.), Mayo Clinic, Rochester, MN
| | - Andrea L C Schneider
- From the Department of Neurology (E.L.J., G.L.K., A.L.C.S., R.F.G.), Johns Hopkins University School of Medicine; Department of Epidemiology (A.K.L., R.F.G.), Johns Hopkins School of Public Health, Baltimore, MD; Department of Epidemiology (A.M.K.-N.), University of North Carolina at Chapel Hill; Department of Neurology (J.H.), University of Mississippi Medical Center, Jackson; and Department of Radiology (C.R.J.), Mayo Clinic, Rochester, MN
| | - Anna M Kucharska-Newton
- From the Department of Neurology (E.L.J., G.L.K., A.L.C.S., R.F.G.), Johns Hopkins University School of Medicine; Department of Epidemiology (A.K.L., R.F.G.), Johns Hopkins School of Public Health, Baltimore, MD; Department of Epidemiology (A.M.K.-N.), University of North Carolina at Chapel Hill; Department of Neurology (J.H.), University of Mississippi Medical Center, Jackson; and Department of Radiology (C.R.J.), Mayo Clinic, Rochester, MN
| | - Juebin Huang
- From the Department of Neurology (E.L.J., G.L.K., A.L.C.S., R.F.G.), Johns Hopkins University School of Medicine; Department of Epidemiology (A.K.L., R.F.G.), Johns Hopkins School of Public Health, Baltimore, MD; Department of Epidemiology (A.M.K.-N.), University of North Carolina at Chapel Hill; Department of Neurology (J.H.), University of Mississippi Medical Center, Jackson; and Department of Radiology (C.R.J.), Mayo Clinic, Rochester, MN
| | - Clifford R Jack
- From the Department of Neurology (E.L.J., G.L.K., A.L.C.S., R.F.G.), Johns Hopkins University School of Medicine; Department of Epidemiology (A.K.L., R.F.G.), Johns Hopkins School of Public Health, Baltimore, MD; Department of Epidemiology (A.M.K.-N.), University of North Carolina at Chapel Hill; Department of Neurology (J.H.), University of Mississippi Medical Center, Jackson; and Department of Radiology (C.R.J.), Mayo Clinic, Rochester, MN
| | - Rebecca F Gottesman
- From the Department of Neurology (E.L.J., G.L.K., A.L.C.S., R.F.G.), Johns Hopkins University School of Medicine; Department of Epidemiology (A.K.L., R.F.G.), Johns Hopkins School of Public Health, Baltimore, MD; Department of Epidemiology (A.M.K.-N.), University of North Carolina at Chapel Hill; Department of Neurology (J.H.), University of Mississippi Medical Center, Jackson; and Department of Radiology (C.R.J.), Mayo Clinic, Rochester, MN
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Ammirati E, Moroni F, Magnoni M, Busnardo E, Di Terlizzi S, Villa C, Sizzano F, Scotti I, Palini A, Presotto L, Bettinardi V, Spagnolo P, Besana F, Gianolli L, Rimoldi OE, Camici PG. Carotid artery plaque uptake of 11C-PK11195 inversely correlates with circulating monocytes and classical CD14 ++CD16 - monocytes expressing HLA-DR. IJC HEART & VASCULATURE 2018; 21:32-35. [PMID: 30276231 PMCID: PMC6161414 DOI: 10.1016/j.ijcha.2018.09.005] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/18/2018] [Revised: 08/27/2018] [Accepted: 09/16/2018] [Indexed: 01/08/2023]
Abstract
Background We explored the relation between blood concentrations of monocyte/lymphocyte subsets and carotid artery plaque macrophage content, measured by positron emission tomography (PET) with 11C-PK11195. Methods and results In 9 patients with carotid plaques we performed 11C-PK11195-PET/computed tomography angiography imaging and measurement of absolute concentrations and frequencies of circulating monocytes and T-cell subsets. Plaque standardized uptake value (SUV) for 11C-PK11195 was negatively correlated with concentrations of total monocytes (r = -0.58, p = 0.05) and CD14++CD16-HLA-DR+ classical subset (r = -0.82, p = 0.005). These correlations hold true also in relation to plaque target to background ratio. No correlation was observed between plaque SUV and CD3+T lymphocytes, CD4+T lymphocytes nor with activated CD3+CD4+T cells expressing HLA-DR. Conclusions We first demonstrated a reduction in the absolute concentration of monocytes and particularly in classical monocytes expressing HLA-DR in the presence of an increased uptake of 11C-PK11195 in carotid plaques. The present work, despite being a pilot study comprising only a small number of subjects provides new insights in the search for specific cellular biomarkers with potential diagnostic and prognostic value in patients with a known carotid plaque.
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Affiliation(s)
- Enrico Ammirati
- Vita-Salute University and Raffaele Hospital, Milan, Italy.,De Gasperis CardioCenter, Niguarda Hospital, Milan, Italy
| | | | - Marco Magnoni
- Vita-Salute University and Raffaele Hospital, Milan, Italy
| | - Elena Busnardo
- Department of Nuclear Medicine, San Raffaele Scientific Institute, Milan, Italy
| | - Simona Di Terlizzi
- FRACTAL - Flow cytometry Resource Advanced Cytometry Technical Applications Laboratory, San Raffaele Scientific Institute, Milan, Italy
| | - Chiara Villa
- FRACTAL - Flow cytometry Resource Advanced Cytometry Technical Applications Laboratory, San Raffaele Scientific Institute, Milan, Italy
| | - Federico Sizzano
- Nestlé Institute of Health Sciences, Biobanking & Flow Cytometry Core EPFL, Innovation Park Batiment H, Lausanne, Switzerland
| | - Isabella Scotti
- Department of Rheumatology, Istituto Ortopedico Gaetano Pini, Milan, Italy
| | - Alessio Palini
- Nestlé Institute of Health Sciences, Biobanking & Flow Cytometry Core EPFL, Innovation Park Batiment H, Lausanne, Switzerland
| | | | | | - Pietro Spagnolo
- Department of Nuclear Medicine, San Raffaele Scientific Institute, Milan, Italy
| | - Francesca Besana
- Department of Nuclear Medicine, San Raffaele Scientific Institute, Milan, Italy
| | - Luigi Gianolli
- Department of Nuclear Medicine, San Raffaele Scientific Institute, Milan, Italy
| | | | - Paolo G Camici
- Vita-Salute University and Raffaele Hospital, Milan, Italy
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