Brain Regional Glucose Metabolism, Neuropsychiatric Symptoms, and the Risk of Incident Mild Cognitive Impairment: The Mayo Clinic Study of Aging

. 2021 Feb ; 29 (2) : 179-191. [epub] 20200617

Jazyk angličtina Země Anglie, Velká Británie Médium print-electronic

Typ dokumentu časopisecké články, Research Support, N.I.H., Extramural, práce podpořená grantem

Perzistentní odkaz   https://www.medvik.cz/link/pmid32646634

Grantová podpora
K01 MH068351 NIMH NIH HHS - United States
R01 AG041851 NIA NIH HHS - United States
R01 AG056366 NIA NIH HHS - United States
R01 AG034676 NIA NIH HHS - United States
P50 AG016574 NIA NIH HHS - United States
R01 AG011378 NIA NIH HHS - United States
R33 AG058738 NIA NIH HHS - United States
R01 NS097495 NINDS NIH HHS - United States
R01 AG057708 NIA NIH HHS - United States
R37 AG011378 NIA NIH HHS - United States
U01 AG006786 NIA NIH HHS - United States

Odkazy

PubMed 32646634
PubMed Central PMC7744363
DOI 10.1016/j.jagp.2020.06.006
PII: S1064-7481(20)30375-4
Knihovny.cz E-zdroje

OBJECTIVE: The authors conducted a prospective cohort study to examine the risk of incident mild cognitive impairment (MCI) as predicted by baseline neuropsychiatric symptoms (NPS) and brain regional glucose metabolic dysfunction. METHODS: About 1,363 cognitively unimpaired individuals (52.8% males) aged ≥50 years were followed for a median of 4.8 years to the outcome of incident MCI. NPS were assessed using Beck Depression and Anxiety Inventories and Neuropsychiatric Inventory Questionnaire. Glucose hypometabolism was measured by fluorodeoxyglucose positron emission tomography and defined as standardized uptake value ratio ≤ 1.47 in regions typically affected in Alzheimer disease. Cox proportional hazards models were adjusted for age, sex, education, and APOE ε4 status. RESULTS: Participants with regional glucose hypometabolism and depression (Beck Depression Inventory-II ≥13) had a more than threefold increased risk of incident MCI (hazard ratio [95% confidence interval], 3.66 [1.75, 7.65], p <0.001, χ2 = 11.83, degree of freedom [df] = 1) as compared to the reference group (normal regional glucose metabolism and no depression), and the risk was also significantly elevated (7.21 [3.54, 14.7], p <0.001, χ2 = 29.68, df = 1) for participants with glucose hypometabolism and anxiety (Beck Anxiety Inventory ≥10). Having glucose hypometabolism and ≥1 NPS (3.74 [2.40, 5.82], p <0.001, χ2 = 34.13, df = 1) or ≥2 NPS (3.89 [2.20, 6.86], p <0.001, χ2 = 21.92, df = 1) increased the risk of incident MCI by more than three times, and having ≥3 NPS increased the risk by more than four times (4.12 [2.03, 8.37], p <0.001, χ2 = 15.39, df = 1). CONCLUSION: Combined presence of NPS with regional glucose hypometabolism is associated with an increased risk of incident MCI, with fluorodeoxyglucose positron emission tomography appearing to be a stronger driving force of cognitive decline than NPS.

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Knopman DS, Jack CR Jr., Wiste HJ, et al.: 18F-fluorodeoxyglucose positron emission tomography, aging, and apolipoprotein E genotype in cognitively normal persons. Neurobiol Aging 2014; 35:2096–2106 PubMed PMC

Minoshima S, Giordani B, Berent S, et al.: Metabolic reduction in the posterior cingulate cortex in very early Alzheimer’s disease. Ann Neurol 1997; 42:85–94 PubMed

Herholz K, Salmon E, Perani D, et al.: Discrimination between Alzheimer dementia and controls by automated analysis of multicenter FDG PET. Neuroimage 2002; 17:302–316 PubMed

Jagust W, Gitcho A, Sun F, et al.: Brain imaging evidence of preclinical Alzheimer’s disease in normal aging. Ann Neurol 2006; 59:673–681 PubMed

Alexander GE, Chen K, Pietrini P, et al.: Longitudinal PET Evaluation of Cerebral Metabolic Decline in Dementia: A Potential Outcome Measure in Alzheimer’s Disease Treatment Studies. Am J Psychiatry 2002; 159:738–745 PubMed

Drzezga A, Lautenschlager N, Siebner H, et al.: Cerebral metabolic changes accompanying conversion of mild cognitive impairment into Alzheimer’s disease: a PET follow-up study. Eur J Nucl Med Mol Imaging 2003; 30:1104–1113 PubMed

Landau SM, Harvey D, Madison CM, et al.: Associations between cognitive, functional, and FDG-PET measures of decline in AD and MCI. Neurobiol Aging 2011; 32:1207–1218 PubMed PMC

Ng KP, Pascoal TA, Mathotaarachchi S, et al.: Neuropsychiatric symptoms predict hypometabolism in preclinical Alzheimer disease. Neurology 2017; 88:1814–1821 PubMed PMC

Lyketsos CG, Lopez O, Jones B, et al.: Prevalence of neuropsychiatric symptoms in dementia and mild cognitive impairment: results from the Cardiovascular Health Study. Jama 2002; 288:1475–1483 PubMed

Geda YE, Roberts RO, Knopman DS, et al.: Prevalence of neuropsychiatric symptoms in mild cognitive impairment and normal cognitive aging: population-based study. Arch Gen Psychiatry 2008; 65:1193–1198 PubMed PMC

Rosenberg PB, Mielke MM, Appleby BS, et al.: The association of neuropsychiatric symptoms in MCI with incident dementia and Alzheimer disease. Am J Geriatr Psychiatry 2013; 21:685–695 PubMed PMC

Forrester SN, Gallo JJ, Smith GS, et al.: Patterns of Neuropsychiatric Symptoms in Mild Cognitive Impairment and Risk of Dementia. Am J Geriatr Psychiatry 2016; 24:117–125 PubMed PMC

Pink A, Stokin GB, Bartley MM, et al.: Neuropsychiatric symptoms, APOE epsilon4, and the risk of incident dementia: a population-based study. Neurology 2015; 84:935–943 PubMed PMC

Donovan NJ, Hsu DC, Dagley AS, et al.: Depressive Symptoms and Biomarkers of Alzheimer’s Disease in Cognitively Normal Older Adults. J Alzheimers Dis 2015; 46:63–73 PubMed PMC

Gatchel JR, Donovan NJ, Locascio JJ, et al.: Regional 18F-Fluorodeoxyglucose Hypometabolism is Associated with Higher Apathy Scores Over Time in Early Alzheimer Disease. Am J Geriatr Psychiatry 2017; 25:683–693 PubMed PMC

Krell-Roesch J, Ruider H, Lowe VJ, et al.: FDG-PET and Neuropsychiatric Symptoms among Cognitively Normal Elderly Persons: The Mayo Clinic Study of Aging. J Alzheimers Dis 2016; 53:1609–1616 PubMed PMC

Kaufer DI, Cummings JL, Ketchel P, et al.: Validation of the NPI-Q, a brief clinical form of the Neuropsychiatric Inventory. J Neuropsychiatry Clin Neurosci 2000; 12:233–239 PubMed

Beck AT, Steer RA,Brown GK: BDI-II, Beck Depression Inventory: Manual, 2nd San Antonio, TX; Boston, MA, Psychological Corp.; Harcourt Brace, 1996

Beck AT,Steer RA: BAI, Beck anxiety inventory: Manual, San Antonio, Psychological Corp. : Harcourt Brace Jovanovich, 1990

Roberts RO, Geda YE, Knopman DS, et al.: The Mayo Clinic Study of Aging: design and sampling, participation, baseline measures and sample characteristics. Neuroepidemiology 2008; 30:58–69 PubMed PMC

Kokmen E, Smith GE, Petersen RC, et al.: The Short Test of Mental Status: Correlations With Standardized Psychometric Testing. Archives of Neurology 1991; 48:725–728 PubMed

Morris JC: The Clinical Dementia Rating (CDR): current version and scoring rules. Neurology 1993; 43:2412–2414 PubMed

Rey A: L’examen clinique en psychologie, Paris, Presses Universitaires de France, 1964

Wechsler D: Wechsler Memory Scale-Revised, New York, The Psychological Corporation, 1987

Kaplan E, Goodglass H,Weintraub S: Boston Naming Test, 2nd Philadelphia, Lippincott Williams & Wilkins, 2001

Lucas JA, Ivnik RJ, Smith GE, et al.: Mayo’s Older Americans Normative Studies: category fluency norms. J Clin Exp Neuropsychol 1998; 20:194–200 PubMed

Wechsler D: Wechsler Adult Intelligence Scale-Revised, New York, Psychological Corporation, 1981

Reitan RM: Validity of the Trail Making Test as an indicator of organic brain damage. Perceptual and Motor Skills 1958; 8:271–276

Petersen RC: Mild cognitive impairment as a diagnostic entity. J Intern Med 2004; 256:183–194 PubMed

Jack CR Jr., Lowe VJ, Senjem ML, et al.: 11C PiB and structural MRI provide complementary information in imaging of Alzheimer’s disease and amnestic mild cognitive impairment. Brain 2008; 131:665–680 PubMed PMC

Tzourio-Mazoyer N, Landeau B, Papathanassiou D, et al.: Automated anatomical labeling of activations in SPM using a macroscopic anatomical parcellation of the MNI MRI single-subject brain. Neuroimage 2002; 15:273–289 PubMed

Jagust WJ, Bandy D, Chen K, et al.: The Alzheimer’s Disease Neuroimaging Initiative positron emission tomography core. Alzheimers Dement 2010; 6:221–229 PubMed PMC

Minoshima S, Frey KA, Foster NL, et al.: Preserved pontine glucose metabolism in Alzheimer disease: a reference region for functional brain image (PET) analysis. J Comput Assist Tomogr 1995; 19:541–547 PubMed

Jack CR Jr., Wiste HJ, Weigand SD, et al.: Defining imaging biomarker cut points for brain aging and Alzheimer’s disease. Alzheimers Dement 2017; 13:205–216 PubMed PMC

Charlson ME, Pompei P, Ales KL, et al.: A new method of classifying prognostic comorbidity in longitudinal studies: development and validation. J Chronic Dis 1987; 40:373–383 PubMed

Hixson JE,Vernier DT: Restriction isotyping of human apolipoprotein E by gene amplification and cleavage with HhaI. J Lipid Res 1990; 31:545–548 PubMed

Geda YE, Roberts RO, Mielke MM, et al.: Baseline neuropsychiatric symptoms and the risk of incident mild cognitive impairment: a population-based study. Am J Psychiatry 2014; 171:572–581 PubMed PMC

Richard E, Reitz C, Honig LH, et al.: Late-life depression, mild cognitive impairment, and dementia. JAMA Neurol 2013; 70:374–382 PubMed PMC

Steenland K, Karnes C, Seals R, et al.: Late-life depression as a risk factor for mild cognitive impairment or Alzheimer’s disease in 30 US Alzheimer’s disease centers. J Alzheimers Dis 2012; 31:265–275 PubMed PMC

Wilson RS, Schneider JA, Boyle PA, et al.: Chronic distress and incidence of mild cognitive impairment. Neurology 2007; 68:2085–2092 PubMed

Delrieu J, Desmidt T, Camus V, et al.: Apathy as a feature of prodromal Alzheimer’s disease: an FDG-PET ADNI study. Int J Geriatr Psychiatry 2015; 30:470–477 PubMed

Lee DY, Choo IH, Jhoo JH, et al.: Frontal dysfunction underlies depressive syndrome in Alzheimer disease: a FDG-PET study. Am J Geriatr Psychiatry 2006; 14:625–628 PubMed

Holthoff VA, Beuthien-Baumann B, Kalbe E, et al.: Regional cerebral metabolism in early Alzheimer’s disease with clinically significant apathy or depression. Biol Psychiatry 2005; 57:412–421 PubMed

Weissberger GH, Melrose RJ, Narvaez TA, et al.: (18)F-Fluorodeoxyglucose Positron Emission Tomography Cortical Metabolic Activity Associated with Distinct Agitation Behaviors in Alzheimer Disease. Am J Geriatr Psychiatry 2017; 25:569–579 PubMed

Su L, Cai Y, Xu Y, et al.: Cerebral metabolism in major depressive disorder: a voxel-based meta-analysis of positron emission tomography studies. BMC Psychiatry 2014; 14:321. PubMed PMC

St Sauver JL, Grossardt BR, Leibson CL, et al.: Generalizability of epidemiological findings and public health decisions: an illustration from the Rochester Epidemiology Project. Mayo Clinic proceedings 2012; 87:151–160 PubMed PMC

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