Impaired cerebral interstitial fluid dynamics in cerebral autosomal dominant arteriopathy with subcortical infarcts and leucoencephalopathy.

Shao-Lun Hsu, Yi-Chu Liao, Chia-Hung Wu, Feng-Chi Chang, Yung-Lin Chen, Kuan-Lin Lai, Chih-Ping Chung, Shih-Pin Chen, Yi-Chung Lee
Author Information
  1. Shao-Lun Hsu: Department of Neurology, Taipei Veterans General Hospital, Taipei 11217, Taiwan.
  2. Yi-Chu Liao: Department of Neurology, Taipei Veterans General Hospital, Taipei 11217, Taiwan. ORCID
  3. Chia-Hung Wu: School of Medicine, National Yang Ming Chiao Tung University, Taipei 11221, Taiwan. ORCID
  4. Feng-Chi Chang: School of Medicine, National Yang Ming Chiao Tung University, Taipei 11221, Taiwan.
  5. Yung-Lin Chen: Institute of Biophotonics, National Yang Ming Chiao Tung University, Taipei 11221, Taiwan.
  6. Kuan-Lin Lai: Department of Neurology, Taipei Veterans General Hospital, Taipei 11217, Taiwan.
  7. Chih-Ping Chung: Department of Neurology, Taipei Veterans General Hospital, Taipei 11217, Taiwan. ORCID
  8. Shih-Pin Chen: Department of Neurology, Taipei Veterans General Hospital, Taipei 11217, Taiwan. ORCID
  9. Yi-Chung Lee: Department of Neurology, Taipei Veterans General Hospital, Taipei 11217, Taiwan. ORCID

Abstract

Cerebral autosomal dominant arteriopathy with subcortical infarcts and leucoencephalopathy, caused by cysteine-altering variants in , is the most prevalent inherited cerebral small vessel disease. Impaired cerebral interstitial fluid dynamics has been proposed as one of the potential culprits of neurodegeneration and may play a critical role in the initiation and progression of cerebral small vessel disease. In the present study, we aimed to explore the cerebral interstitial fluid dynamics in patients with cerebral autosomal dominant arteriopathy with subcortical infarcts and leucoencephalopathy and to evaluate its association with clinical features, imaging biomarkers and disease severity of cerebral autosomal dominant arteriopathy with subcortical infarcts and leucoencephalopathy. Eighty-one participants carrying a cysteine-altering variant in , including 44 symptomatic cerebral autosomal dominant arteriopathy with subcortical infarcts and leucoencephalopathy patients and 37 preclinical carriers, and 21 age- and sex-matched healthy control individuals were recruited. All participants underwent brain MRI studies and neuropsychological evaluations. Cerebral interstitial fluid dynamics was investigated by using the non-invasive diffusion tensor image analysis along the perivascular space method. We found that cerebral autosomal dominant arteriopathy with subcortical infarcts and leucoencephalopathy patients exhibited significantly lower values of diffusion tensor image analysis along the perivascular space index comparing to preclinical carriers and healthy controls. For the 81 subjects carrying variants, older age and presence of hypertension were independently associated with decreased diffusion tensor image analysis along the perivascular space index. The degree of cerebral interstitial fluid dynamics was strongly related to the severity of cerebral small vessel disease imaging markers, with a positive correlation between diffusion tensor image analysis along the perivascular space index and brain parenchymal fraction and negative correlations between diffusion tensor image analysis along the perivascular space index and total volume of white matter hyperintensity, peak width of skeletonized mean diffusivity, lacune numbers and cerebral microbleed counts. In addition, diffusion tensor image analysis along the perivascular space index was a significant risk factor associated with the development of clinical symptoms of stroke or cognitive dysfunction in individuals carrying variants. In cerebral autosomal dominant arteriopathy with subcortical infarcts and leucoencephalopathy patients, diffusion tensor image analysis along the perivascular space index was significantly associated with Mini-Mental State Examination scores. Mediation analysis showed that compromised cerebral interstitial fluid dynamics was not only directly associated with cognitive dysfunction but also had an indirect effect on cognition by influencing brain atrophy, white matter disruption, lacunar lesions and cerebral microbleeds. In conclusion, cerebral interstitial fluid dynamics is impaired in cerebral autosomal dominant arteriopathy with subcortical infarcts and leucoencephalopathy and its disruption may play an important role in the pathogenesis of cerebral autosomal dominant arteriopathy with subcortical infarcts and leucoencephalopathy. Diffusion tensor image analysis along the perivascular space index may serve as a biomarker of disease severity for cerebral autosomal dominant arteriopathy with subcortical infarcts and leucoencephalopathy.

Keywords

References

  1. Stroke. 2007 Mar;38(3):1091-6 [PMID: 17272767]
  2. Lancet Neurol. 2009 Jul;8(7):643-53 [PMID: 19539236]
  3. Magn Reson Imaging. 2012 Nov;30(9):1323-41 [PMID: 22770690]
  4. Neuron. 2020 Feb 5;105(3):549-561.e5 [PMID: 31810839]
  5. Sci Transl Med. 2012 Aug 15;4(147):147ra111 [PMID: 22896675]
  6. Neuroimage. 2021 Sep;238:118257 [PMID: 34118396]
  7. Magn Reson Med Sci. 2024 Jan 1;23(1):1-13 [PMID: 36436975]
  8. Lancet Neurol. 2018 Nov;17(11):1016-1024 [PMID: 30353860]
  9. Stroke. 2005 Jan;36(1):50-5 [PMID: 15576652]
  10. Stroke. 1994 Nov;25(11):2291-2 [PMID: 7974561]
  11. Brain. 2009 Apr;132(Pt 4):933-9 [PMID: 19174371]
  12. Neuropathol Appl Neurobiol. 2008 Apr;34(2):131-44 [PMID: 18208483]
  13. Neuroscience. 2023 Aug 1;524:11-20 [PMID: 37030632]
  14. Ann Neurol. 2016 Oct;80(4):581-92 [PMID: 27518166]
  15. Neurology. 2022 Aug 1;99(5):e453-e461 [PMID: 35606149]
  16. J Psychiatr Res. 1975 Nov;12(3):189-98 [PMID: 1202204]
  17. J Clin Neurol. 2023 Jan;19(1):12-27 [PMID: 36606642]
  18. Stroke Vasc Neurol. 2023 Oct;8(5):413-423 [PMID: 37045543]
  19. Neurology. 1999 Nov 10;53(8):1698-704 [PMID: 10563615]
  20. Psychol Methods. 2000 Sep;5(3):343-55 [PMID: 11004872]
  21. J Neuropathol Exp Neurol. 2013 May;72(5):416-31 [PMID: 23584202]
  22. J Neurosci. 2013 Nov 13;33(46):18190-9 [PMID: 24227727]
  23. Acta Neuropathol. 2006 Sep;112(3):333-9 [PMID: 16871402]
  24. Stroke. 2001 Jan;32(1):17-21 [PMID: 11136908]
  25. Oncogene. 2008 Sep 1;27(38):5092-8 [PMID: 18758477]
  26. Jpn J Radiol. 2022 Feb;40(2):147-158 [PMID: 34390452]
  27. Nature. 1996 Oct 24;383(6602):707-10 [PMID: 8878478]
  28. Fluids Barriers CNS. 2014 Dec 02;11(1):26 [PMID: 25678956]
  29. Physiol Rev. 2022 Apr 1;102(2):1025-1151 [PMID: 33949874]
  30. iScience. 2022 Aug 20;25(9):104987 [PMID: 36093063]
  31. Neurology. 2007 Jul 10;69(2):172-9 [PMID: 17620550]
  32. Neurosci Biobehav Rev. 2018 Jul;90:26-33 [PMID: 29608988]
  33. Brain. 2017 Jul 1;140(7):1829-1850 [PMID: 28334869]
  34. Lancet Neurol. 2009 Feb;8(2):165-74 [PMID: 19161908]
  35. Neurology. 2006 May 23;66(10):1517-22 [PMID: 16717211]
  36. Front Aging Neurosci. 2022 Jun 24;14:916633 [PMID: 35813943]
  37. J Neurol. 1998 Feb;245(2):116-22 [PMID: 9507419]
  38. Eur J Neurol. 2022 Oct;29(10):2895-2904 [PMID: 35712978]
  39. Hum Mol Genet. 2010 Jan 1;19(1):79-89 [PMID: 19825845]
  40. Nat Commun. 2018 Nov 19;9(1):4878 [PMID: 30451853]
  41. J Clin Invest. 2013 Mar;123(3):1299-309 [PMID: 23434588]
  42. Front Aging Neurosci. 2022 Jun 10;14:876437 [PMID: 35754959]
  43. Jpn J Radiol. 2017 Apr;35(4):172-178 [PMID: 28197821]
  44. PLoS One. 2015 Aug 26;10(8):e0136501 [PMID: 26308724]
  45. Neurology. 2020 May 26;94(21):e2258-e2269 [PMID: 32366534]
  46. Brain Sci. 2022 Nov 24;12(12): [PMID: 36552071]
  47. Eur J Cell Biol. 2018 Nov;97(8):557-567 [PMID: 30392756]
  48. J Cereb Blood Flow Metab. 2020 Jan;40(1):85-99 [PMID: 30295558]
  49. Alzheimers Dement (Amst). 2020 Aug 03;12(1):e12053 [PMID: 32775596]
  50. Lancet Neurol. 2019 Jul;18(7):684-696 [PMID: 31097385]
  51. Jpn J Radiol. 2022 Sep;40(9):894-902 [PMID: 35474438]
  52. J Stroke. 2015 Jan;17(1):7-16 [PMID: 25692103]
  53. Front Aging Neurosci. 2019 Jan 23;11:1 [PMID: 30740048]

Word Cloud

Created with Highcharts 10.0.0cerebralautosomaldominantarteriopathysubcorticalinfarctsleucoencephalopathyanalysisinterstitialfluiddynamicstensorimagealongperivascularspacediffusionindexdiseasesmallvesselpatientsassociatedvariantsmayseveritycarryingbrainCerebralcysteine-alteringImpairedplayroleclinicalimagingparticipantspreclinicalcarriershealthyindividualssignificantlywhitemattercognitivedysfunctiondisruptioncausedprevalentinheritedproposedonepotentialculpritsneurodegenerationcriticalinitiationprogressionpresentstudyaimedexploreevaluateassociationfeaturesbiomarkersEighty-onevariantincluding44symptomatic3721age-sex-matchedcontrolrecruitedunderwentMRIstudiesneuropsychologicalevaluationsinvestigatedusingnon-invasivemethodfoundexhibitedlowervaluescomparingcontrols81subjectsolderagepresencehypertensionindependentlydecreaseddegreestronglyrelatedmarkerspositivecorrelationparenchymalfractionnegativecorrelationstotalvolumehyperintensitypeakwidthskeletonizedmeandiffusivitylacunenumbersmicrobleedcountsadditionsignificantriskfactordevelopmentsymptomsstrokeMini-MentalStateExaminationscoresMediationshowedcompromiseddirectlyalsoindirecteffectcognitioninfluencingatrophylacunarlesionsmicrobleedsconclusionimpairedimportantpathogenesisDiffusionservebiomarkerCADASILNOTCH3geneglymphaticsystem

Similar Articles

Cited By