Blood–Brain Barrier Breakdown is a Sensitive Biomarker of Cognitive and Language Impairment in Patients with White Matter Hyperintensities

Springer Science and Business Media LLC - Tập 12 - Trang 1745-1758 - 2023
Xing Wang1,2,3,4,5,6, Yulu Shi1,2,3,4,5,6, Yiyi Chen1,2,3,4,5,6, Ying Gao1,2,3,4,5,6, Tingting Wang1,2,3,4,5,6, Zhengyang Li1,2,3,4,5,6, Yilong Wang1,2,3,4,5,6
1Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
2Chinese Institute for Brain Research, Beijing, China
3National Centre for Neurological Diseases, Beijing, China
4Advanced Innovation Centre for Human Brain Protection, Capital Medical University, Beijing, China
5China National Clinical Research Centre for Neurological Diseases, Beijing, China
6Beijing Laboratory of Oral Health, Capital Medical University, Beijing, China

Tóm tắt

Similar white matter hyperintensities (WMH) burden may have varied cognitive outcomes in patients with cerebral small vessel disease (CSVD). This study aimed to evaluate whether blood–brain barrier (BBB) permeability is associated with cognitive impairment (CI) heterogeneity in patients with WMH. We recruited 51 participants with WMH. We evaluated WMH burden using the Fazekas scale and WMH volume on structural magnetic resonance imaging (MRI), and assessed BBB permeability using dynamic contrast-enhanced (DCE)-MRI. We used permeability–surface area product (PS) from the Patlak model to represent BBB permeability. All patients underwent Mini-Mental State Examination (MMSE), Boston Naming Test (BNT) and animal verbal fluency test (VFT) for cognitive assessment. We divided patients into CI and non-CI groups based on their MMSE scores (< 27 or ≥ 27) and used multiple linear regression models to investigate the associations between MRI parameters and cognitive function. Patients in the two groups did not differ in Fazekas scores and WMH volume. However, patients in the CI group showed significantly higher PS in the WMH regions than those in non-CI group (1.89 × 10−3 versus 1.00 × 10−3, p = 0.032 in periventricular WMH [PVWMH]; 1.27 × 10−3 versus 0.74 × 10−3, p = 0.043 in deep WMH [DWMH]), indicating the breakdown of BBB in the CI group. In all patients with WMH, increased BBB permeability in PVWMH and DWMH was significantly associated with lower cognitive and language function after adjustment for age, education level (EL) and intracranial volume (ICV). In the CI group, this correlation remained significant. WMH volume was not associated with cognitive performance in either all patients or those with CI. BBB impairment might be a more sensitive indicator for cognitive and language dysfunction than WMH volume in patients with WMH and possibly explains the heterogeneity of cognitive performance in patients with similar WMH burden.

Tài liệu tham khảo

Pantoni L. Cerebral small vessel disease: from pathogenesis and clinical characteristics to therapeutic challenges. Lancet Neurol. 2010;9:689–701. Wardlaw JM, Smith EE, Biessels GJ, et al. Neuroimaging standards for research into small vessel disease and its contribution to ageing and neurodegeneration. Lancet Neurol. 2013;12:822–38. van Leijsen EMC, van Uden IWM, Ghafoorian M, et al. Nonlinear temporal dynamics of cerebral small vessel disease: the RUN DMC study. Neurology. 2017;89:1569–77. Debette S, Markus HS. The clinical importance of white matter hyperintensities on brain magnetic resonance imaging: systematic review and meta-analysis. BMJ. 2010;341: c3666. Benedictus MR, van Harten AC, Leeuwis AE, et al. White matter hyperintensities relate to clinical progression in subjective cognitive decline. Stroke. 2015;46:2661–4. Jokinen H, Kalska H, Ylikoski R, et al. Longitudinal cognitive decline in subcortical ischemic vascular disease—the LADIS study. Cerebrovasc Dis. 2009;27:384–91. Lafosse JM, Reed BR, Mungas D, Sterling SB, Wahbeh H, Jagust WJ. Fluency and memory differences between ischemic vascular dementia and Alzheimer’s disease. Neuropsychology. 1997;11:514–22. Herbert V, Brookes RL, Markus HS, Morris RG. Verbal fluency in cerebral small vessel disease and Alzheimer’s disease. J Int Neuropsychol Soc. 2014;20:413–21. Vasquez BP, Zakzanis KK. The neuropsychological profile of vascular cognitive impairment not demented: a meta-analysis. J Neuropsychol. 2015;9:109–36. Camerino I, Sierpowska J, Reid A, et al. White matter hyperintensities at critical crossroads for executive function and verbal abilities in small vessel disease. Hum Brain Mapp. 2021;42:993–1002. Salvadori E, Brambilla M, Maestri G, et al. The clinical profile of cerebral small vessel disease: toward an evidence-based identification of cognitive markers. Alzheimers Dement. 2023;19:244–60. Ter Telgte A, van Leijsen EMC, Wiegertjes K, Klijn CJM, Tuladhar AM, de Leeuw FE. Cerebral small vessel disease: from a focal to a global perspective. Nat Rev Neurol. 2018;14:387–98. Wardlaw JM, Smith C, Dichgans M. Mechanisms of sporadic cerebral small vessel disease: insights from neuroimaging. Lancet Neurol. 2013;12:483–97. Cheung RW, Cheung MC, Chan AS. Confrontation naming in Chinese patients with left, right or bilateral brain damage. J Int Neuropsychol Soc. 2004;10:46–53. Brucki SM, Rocha MS. Category fluency test: effects of age, gender and education on total scores, clustering and switching in Brazilian Portuguese-speaking subjects. Braz J Med Biol Res. 2004;37:1771–7. Li H, Jia J, Yang Z. Mini-mental state examination in elderly Chinese: a population-based normative study. J Alzheimers Dis. 2016;53:487–96. von Elm E, Altman DG, Egger M, et al. The strengthening the reporting of observational studies in epidemiology (STROBE) statement: guidelines for reporting observational studies. PLoS Med. 2007;4:e296. Khaw J, Subramaniam P, Abd Aziz NA, Ali Raymond A, Wan Zaidi WA, Ghazali SE. Current update on the clinical utility of MMSE and MoCA for stroke patients in Asia: a systematic review. Int J Environ Res Public Health. 2021;18:8962. Zhu Y, Zhao S, Fan Z, et al. Evaluation of the mini-mental state examination and the Montreal cognitive assessment for predicting post-stroke cognitive impairment during the acute phase in Chinese minor stroke patients. Front Aging Neurosci. 2020;12:236. Shen YJ, Wang WA, Huang FD, et al. The use of MMSE and MoCA in patients with acute ischemic stroke in clinical. Int J Neurosci. 2016;126:442–7. Skrobot OA, O’Brien J, Black S, et al. The vascular impairment of cognition classification consensus study. Alzheimers Dement. 2017;13:624–33. Thrippleton MJ, Backes WH, Sourbron S, et al. Quantifying blood-brain barrier leakage in small vessel disease: review and consensus recommendations. Alzheimers Dement. 2019;15:840–58. Fazekas F, Chawluk JB, Alavi A, Hurtig HI, Zimmerman RA. MR signal abnormalities at 1.5 T in Alzheimer’s dementia and normal aging. AJR Am J Roentgenol. 1987;149:351–6. Clancy U, Makin SDJ, McHutchison CA, et al. Impact of small vessel disease progression on long-term cognitive and functional changes after stroke. Neurology. 2022;98:e1459–69. Patlak CS, Blasberg RG. Graphical evaluation of blood-to-brain transfer constants from multiple-time uptake data. Generalizations. J Cereb Blood Flow Metab. 1985;5:584–90. Heye AK, Thrippleton MJ, Armitage PA, et al. Tracer kinetic modelling for DCE-MRI quantification of subtle blood-brain barrier permeability. Neuroimage. 2016;125:446–55. van Loenhoud AC, Groot C, Bocancea DI, et al. Association of education and intracranial volume with cognitive trajectories and mortality rates across the Alzheimer disease continuum. Neurology. 2022;98:e1679–91. Fazekas F, Kleinert R, Offenbacher H, et al. Pathologic correlates of incidental MRI white matter signal hyperintensities. Neurology. 1993;43:1683–9. Raja R, Rosenberg GA, Caprihan A. MRI measurements of blood-brain barrier function in dementia: a review of recent studies. Neuropharmacology. 2018;134:259–71. Wardlaw JM, Chappell FM, Valdes Hernandez MDC, et al. White matter hyperintensity reduction and outcomes after minor stroke. Neurology. 2017;89:1003–10. Prins ND, Scheltens P. White matter hyperintensities, cognitive impairment and dementia: an update. Nat Rev Neurol. 2015;11:157–65. Jung KH, Stephens KA, Yochim KM, et al. Heterogeneity of cerebral white matter lesions and clinical correlates in older adults. Stroke. 2021;52:620–30. Hu HY, Ou YN, Shen XN, et al. White matter hyperintensities and risks of cognitive impairment and dementia: a systematic review and meta-analysis of 36 prospective studies. Neurosci Biobehav Rev. 2021;120:16–27. Li Y, Li M, Zhang X, et al. Higher blood-brain barrier permeability is associated with higher white matter hyperintensities burden. J Neurol. 2017;264:1474–81. O’Sullivan M. Imaging small vessel disease: lesion topography, networks, and cognitive deficits investigated with MRI. Stroke. 2010;41:S154–8. Otsuka Y, Yamauchi H, Sawamoto N, Iseki K, Tomimoto H, Fukuyama H. Diffuse tract damage in the hemispheric deep white matter may correlate with global cognitive impairment and callosal atrophy in patients with extensive leukoaraiosis. AJNR Am J Neuroradiol. 2012;33:726–32. Smith EE, Salat DH, Jeng J, et al. Correlations between MRI white matter lesion location and executive function and episodic memory. Neurology. 2011;76:1492–9. Ha IH, Lim C, Kim Y, Moon Y, Han SH, Moon WJ. Regional differences in blood-brain barrier permeability in cognitively normal elderly subjects: a dynamic contrast-enhanced MRI-based study. Korean J Radiol. 2021;22:1152–62. Farrall AJ, Wardlaw JM. Blood-brain barrier: ageing and microvascular disease–systematic review and meta-analysis. Neurobiol Aging. 2009;30:337–52. Sweeney MD, Zhao Z, Montagne A, Nelson AR, Zlokovic BV. Blood-brain barrier: from physiology to disease and back. Physiol Rev. 2019;99:21–78. Gasparovic C, Prestopnik J, Thompson J, et al. 1H-MR spectroscopy metabolite levels correlate with executive function in vascular cognitive impairment. J Neurol Neurosurg Psychiatry. 2013;84:715–21.