Association between white matter lesions and Alzheimer's disease and dementia among the elderly
Hong Wenjuan1, Huang Jie1, Wang Congguo1, Ma Jingjing1, Li Jingping1, Li Xiaoxiong1, Zhou Huadong1,2
1Department of Neurology, the First Affiliated Hospital of Bengbu Medical College, Bengbu 233004, China; 2Department of Neurology, Army Medical Center of PLA, Chongqing 400010, China
Abstract:Objective This study aims to explore the relationship between white matter lesions (WML) and Alzheimer's disease (AD) and dementia among the elderly. Methods The clinical and imaging data of 981 inpatients (472 males and 509 females, 75-89 years old) in the Neurology Department of the Army Medical Center of PLA from August 2018 to July 2020 were collected and analyzed retrospectively. The patients underwent head magnetic resonance (MR) examination to verify the presence of WML. Neuropsychological scale was used to evaluate cognitive impairment. According to the results of clinical diagnosis, the patients were divided into a normal cognitive function group (743 cases) and an AD and dementia group (238 cases). Among them, 23 patients in the normal cognitive function group and 48 patients in the AD and dementia group received MR-DTI examination. The clinical characteristics of the two groups were compared, and the risk factors of AD and dementia were analyzed by logistic regression analysis. The distribution and grading of WML were compared between the two groups. The MR-diffusion tensor imaging(DTI)of the patients' brain was analyzed, and the differences in fractional anisotropy(FA) values and apparent diffusion coefficient(ADC) values in frontal lobe, temporal lobe, parietal lobe, occipital lobe and hemioval region were compared between the two groups. Results Multivariate logistic regression analysis revealed that age; gender (female); low education level; widowhood; having hypertension, diabetes, and hypercholesterolemia; engaging in smoking; and moderate and severe WML were risk factors of AD and dementia(all P values<0.05). In the AD and dementia group, paraventricular WML (71.0%) was more extensive than subcortical WML (29.0%). Subcortical WML (29.0%) was more extensive in the AD and dementia group than that in the control group (19.4%). Moreover, moderate and severe paraventricular and subcortical WML in the AD and dementia group were more significantly extensive than that in the control group (all P values<0.05). MR-DTI analysis showed that there were significant differences in FA value and ADC value of frontal lobe, semioval area, and FA value of parietal lobe between the two groups(all P values<0.05); there were no significant difference in FA value and ADC value of temporal lobe, occipital lobe and the ADC value of the parietal lobe between the two groups(all P values>0.05). Conclusions This study found a significant correlation between moderate and severe WML and the risk of AD. Moreover, this study established that paraventricular and subcortical WML is associated with AD and dementia.
洪文娟, 黄洁, 王从过, 马晶晶, 李金平, 李小雄, 周华东. 老年脑白质病变与阿尔茨海默病痴呆的关联研究[J]. 中华解剖与临床杂志, 2021, 26(2): 197-203.
Hong Wenjuan, Huang Jie, Wang Congguo, Ma Jingjing, Li Jingping, Li Xiaoxiong, Zhou Huadong. Association between white matter lesions and Alzheimer's disease and dementia among the elderly. Chinese Journal of Anatomy and Clinics, 2021, 26(2): 197-203.
Billioti de Gage S, Moride Y, Ducruet T, et al. Benzodiazepine use and risk of Alzheimer's disease: case-control study[J]. BMJ, 2014, 349: g5205. DOI:10.1136/bmj.g5205.
[2]
Liu N, Xu J, Liu H, et al. Hippocampal transcriptome-wide association study and neurobiological pathway analysis for Alzheimer's disease[J]. PLoS Genet, 2021, 17(2): e1009363. DOI:10.1371/journal.pgen.1009363.
[3]
霍颖超, 王敏, 彭泽艳, 等. 60岁以上老年人颈动脉粥样硬化与脑白质病变的相关性研究[J]. 中华解剖与临床杂志, 2016, 21(5): 397-401. DOI:10.3760/cma.j.issn.2095-7041.2016.05.003.Huo YC, Wang M, Peng ZY, et al. The relationship between carotid atherosclerosis and cerebral white matter lesions in the elderly over 60 years old[J]. Chin J Anat Clin, 2016, 21(5): 397-401. DOI:10.3760/cma.j.issn.2095-7041.2016.05.003.
[4]
Pestilli F.Human white matter and knowledge representation[J]. PLoS Biol, 2018, 16(4): e2005758. DOI:10.1371/journal.pbio.2005758.
[5]
Johansson Maurits, Stomrud Erik,Lindberg Olof et al. Apathy and anxiety are early markers of Alzheimer’s disease[J]. Neurobiol Aging, 2020, 85: 74-82. DOI:10.1016/j.neurobiolaging.2019.10.008.
[6]
Marmarelis VZ, Shin DC, Tarumi T, et al. Comparing model-based cerebrovascular physiomarkers with DTI biomarkers in MCI patients[J]. Brain Behav, 2019, 9(8): e01356. DOI:10.1002/brb3.1356.
[7]
Matsuzono K, Yamashita T, Ohta Y, et al. clinical benefits for older Alzheimer's disease patients: Okayama late dementia study (OLDS)[J]. J Alzheimers Dis, 2015, 46(3): 687-693. DOI:10.3233/JAD-150175.
[8]
Yang H, Hong W, Chen L, et al. Analysis of risk factors for depression in Alzheimer's disease patients[J]. Int J Neurosci, 2020, 130(11): 1136-1141. DOI:0.1080/00207454.2020.1730369.
[9]
Honig LS, Vellas B, Woodward M, et al. Trial of solanezumab for mild dementia due to Alzheimer's disease[J]. N Engl J Med, 2018, 378(4): 321-330. DOI:10.1056/NEJMoa1705971.
[10]
Murata S, Ono R, Sugimoto T, et al. Functional decline and body composition change in older adults with Alzheimer disease: a retrospective cohort study at a japanese memory clinic[J]. Alzheimer Dis Assoc Disord, 2021, 35(1): 36-43. DOI:10.1097/WAD.0000000000000426.
[11]
Zhou H, Deng J, Li J, et al. Study of the relationship between cigarette smoking, alcohol drinking and cognitive impairment among elderly people in China[J]. Age Ageing, 2003, 32(2): 205-210. DOI:10.1093/ageing/32.2.205.
[12]
Fazekas F, Chawluk JB, Alavi A, et al. MR signal abnormalities at 1.5 T in Alzheimer's dementia and normal aging[J]. AJR Am J Roentgenol, 1987, 149(2): 351-356. DOI:10.2214/ajr.149.2.351.
[13]
Bagby RM, Ryder AG, Schuller DR, et al. The Hamilton Depression Rating Scale: has the gold standard become a lead weight?[J]. Am J Psychiatry, 2004, 161(12): 2163-2177. DOI:10.1176/appi.ajp.161.12.2163.
[14]
Dubois B, Feldman HH, Jacova C, et al. Research criteria for the diagnosis of Alzheimer's disease: revising the NINCDS-ADRDA criteria[J]. Lancet Neurol, 2007, 6(8): 734-746. DOI:10.1016/S1474-4422(07)70178-3.
[15]
Johnson LA, Cushing B, Rohlfing G, et al. The Hachinski ischemic scale and cognition: the influence of ethnicity[J]. Age Ageing, 2014, 43(3): 364-369. DOI:10.1093/ageing/aft189.
[16]
McKeith IG, Boeve BF, Dickson DW, et al. Diagnosis and management of dementia with Lewy bodies: fourth consensus report of the DLB Consortium[J]. Neurology, 2017, 89(1): 88-100. DOI:10.1212/WNL.0000000000004058.
[17]
Rascovsky K, Hodges JR, Knopman D, et al. Sensitivity of revised diagnostic criteria for the behavioural variant of frontotemporal dementia[J]. Brain, 2011, 134(Pt 9): 2456-2477. DOI:10.1093/brain/awr179.
[18]
Shi J, Sabbagh MN, Vellas B.Alzheimer's disease beyond amyloid: strategies for future therapeutic interventions[J]. BMJ, 2020, 371: m3684. DOI:10.1136/bmj.m3684.
[19]
Abell JG, Kivimäki M, Dugravot A, et al. Association between systolic blood pressure and dementia in the Whitehall Ⅱ cohort study: role of age, duration, and threshold used to define hypertension[J]. Eur Heart J, 2018, 39(33): 3119-3125. DOI:10.1093/eurheartj/ehy288.
[20]
Martins IJ, Hone E, Foster JK, et al. Apolipoprotein E, cholesterol metabolism, diabetes, and the convergence of risk factors for Alzheimer's disease and cardiovascular disease[J]. Mol Psychiatry, 2006, 11(8): 721-736. DOI:10.1038/sj.mp.4001854.
[21]
Wium-Andersen IK, Rungby J, Jørgensen MB, et al. Risk of dementia and cognitive dysfunction in individuals with diabetes or elevated blood glucose[J]. Epidemiol Psychiatr Sci, 2019, 29: e43. DOI:10.1017/S2045796019000374.
[22]
Toledo JB, Arnold SE, Raible K, et al. Contribution of cerebrovascular disease in autopsy confirmed neurodegenerative disease cases in the National Alzheimer's Coordinating Centre[J]. Brain, 2013, 136(Pt 9): 2697-2706. DOI:10.1093/brain/awt188.
Lin YF, Smith AV, Aspelund T, et al. Genetic overlap between vascular pathologies and Alzheimer's dementia and potential causal mechanisms[J]. Alzheimers Dement, 2019, 15(1): 65-75. DOI:10.1016/j.jalz.2018.08.002.
[25]
Rojas S, Brugulat-Serrat A, Bargalló N, et al. Higher prevalence of cerebral white matter hyperintensities in homozygous APOE-ε4 allele carriers aged 45-75: results from the ALFA study[J]. J Cereb Blood Flow Metab, 2018, 38(2): 250-261. DOI:10.1177/0271678X17707397.
[26]
Ferencz B, Gerritsen L.Genetics and underlying pathology of dementia[J]. Neuropsychol Rev, 2015, 25(1): 113-124. DOI:10.1007/s11065-014-9276-3.
[27]
Lin YF, Smith AV, Aspelund T, et al. Genetic overlap between vascular pathologies and Alzheimer's dementia and potential causal mechanisms[J]. Alzheimers Dement, 2019, 15(1): 65-75. DOI:10.1016/j.jalz.2018.08.002.
[28]
Catani M, Dell'acqua F, Bizzi A, et al. Beyond cortical localization in clinico-anatomical correlation[J]. Cortex, 2012, 48(10): 1262-1287. DOI:10.1016/j.cortex.2012.07.001.
[29]
Mangialasche F, Solomon A, Winblad B,et al. Alzheimer's disease: clinical trials and drug development[J]. Lancet Neurol, 2010, 9(7): 702-716. DOI:10.1016/S1474-4422(10)70119-8.
[30]
Castellani RJ, Perry G.The complexities of the pathology-pathogenesis relationship in Alzheimer disease[J]. Biochem Pharmacol, 2014, 88(4): 671-676. DOI:10.1016/j.bcp.2014.01.009.
[31]
Lee S, Viqar F, Zimmerman ME, et al. White matter hyperintensities are a core feature of Alzheimer's disease: evidence from the dominantly inherited Alzheimer network[J]. Ann Neurol, 2016, 79(6): 929-939. DOI:10.1002/ana.24647.
[32]
Lo Buono V, Palmeri R, Corallo F, et al. Diffusion tensor imaging of white matter degeneration in early stage of Alzheimer's disease: a review[J]. Int J Neurosci, 2020, 130(3): 243-250. DOI:10.1080/00207454.2019.1667798.
Gatto RG.Molecular and microstructural biomarkers of neuroplasticity in neurodegenerative disorders through preclinical and diffusion magnetic resonance imaging studies[J]. J Integr Neurosci, 2020, 19(3): 571-592. DOI:10.31083/j.jin.2020.03.165.
[36]
Vasconcelos LG, Brucki S, Jackowiski AP, et al. Diffusion tensor imaging for Alzheimer’s disease: a review of concepts and potential clinical applicability[J]. Dement Neuropsychol, 2009, 3(4): 268-274. DOI:10.1590/S1980-57642009DN30400002.