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Mild Cognitive Impairment – A Preclinical State of Alzheimer’s Disease?

Published Online: June 4th 2011 European Neurological Review, 2006;(2):68-72 DOI: http://doi.org/10.17925/ENR.2006.00.02.68
Authors: Wolf-Dieter Heiss, K Herholz, Cathleen Hänse
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With a prevalence of 4,886,252 cases, dementia is one of the leading brain disorders in the European Community and is responsible for estimated total costs of €55 billion.1 The prevalence of dementia is dependent on the age group with a mean of 2.1 cases/100 of the population in the group 65–74 years, of 6.9/100 in the group 75–84 years and 27/100 in the group beyond 84 years.2


With a prevalence of 4,886,252 cases, dementia is one of the leading brain disorders in the European Community and is responsible for estimated total costs of €55 billion.1 The prevalence of dementia is dependent on the age group with a mean of 2.1 cases/100 of the population in the group 65–74 years, of 6.9/100 in the group 75–84 years and 27/100 in the group beyond 84 years.2
A considerable larger population suffers from a transition phase between healthy cognitive ageing and dementia for which several definitions and names were coined:3 benign senescent forgetfulness,4 ageassociated memory impairment (AAMI),5 late-life forgetfulness,6 ageing-associated cognitive decline,7 cognitive impairment – no dementia (CIND)8 and mild cognitive impairment (MCI).9
Some of these definitions also were introduced into Diagnostic and Statistical Manual of Mental Disorders IV (DSM IV) (American Psychiatric Association 1994) and International Classification of Diseases (ICD).10
The prevalence of these conditions is dependent on the definition resulting in large differences, ranging from 20% for AAMI10 and 16.8% for CIND8 to 3% for MCI9 of the population studied. First, the concept of MCI defined by Petersen et al. in 1997 was restricted to only memory impairment and leads to the identification of people at a high risk of progression to Alzheimer’s disease.11
Due to the heterogeneity of the clinical presentation and the different neuropsychological profiles as well as the clinical course and outcome of numerous MCI subjects (some patients will regain normal cognitive function, some will remain stable and some will show a progression of symptoms to different types of dementia) Petersen extended the primarily concept to a syndrome-type classification:12
• amnestic MCI which is characterised by the following criteria;
– memory complaint, preferably corroborated by an informant and/ or by the subjects themselves;
– objective impaired memory function relative for age and education;
– preserved general cognitive function;
– intact basic activities of daily living; and
– no dementia.
This subtype preferentially progresses to Alzheimer’s disease13 and therefore this definition will be used in the present review.
• multiple domain MCI – slightly impaired (characterised by a slight impairment of multiple cognitive domains); and
• single-domain non-memory MCI (isolated impairment of a cognitive domain other than of memory).
By definition, all these concerned persons are not demented, but a considerable percentage progresses to dementia (10–15% per year).13
Even within the restrictive definition of (amnestic) MCI, there exists considerable aetiological heterogeneity among individuals which is also responsible for the variable prognosis and the different probability to convert into Alzheimer dementia (AD) or vascular cognitive impairment.3,14

Diagnosis of MCI

The various syndromes of mild cognitive impairment in the broader sense have different operational definitions,14 and have different prognoses for progression to dementia. Since amnestic mild cognitive impairment as defined by Petersen et al.9 has a high conversion rate to Alzheimer dementia, its diagnosis and the differentiation from both normal cognitive ageing and incipient dementia disease is of great importance.
Specific recommendations for criteria of MCI were formulated, including evidence of cognitive deterioration shown over time and measured objectively.15 For the objective measurement of this decline standard neuropsychological tests are applied in which poor performance on delayed recall and executive functions indicate a high risk for progression to AD.16,17
These tests are complimentary to the mini-mental state examination, which has been found to be insensitive to MCI and is often within the normal range in most patients with MCI. Supplementary information from a knowledgeable informant (e.g. a family member) concerning the individual’s memory abilities can be particularly also helpful as some patients may be unaware of their cognitive changes.18 Additional to the cognitive impairment most patients with MCI suffer from behavioural and psychological symptoms as anxiety, depression, irritability and apathy.
These complaints often make the correct diagnosis difficult, but they may suggest other disorders, as frontotemporal dementia, Lewy body dementia or vascular origin of cognitive impairment. Despite the operational definitions and the broad neuropsychological testing difficulties remain in defining the boundaries between normal ageing and MCI, and between MCI and mild dementia.

Biomarkers

Biomarkers in the cerebrospinal fluid may help to differentiate between MCI and normal ageing and identify those patients at risk for progression to AD. The markers studied so far include total tau, phos-phorylated tau and β-amyloid 1–42 (Aβ42),19,20 which all have properties for classification and early diagnosis. Phosphotau can especially increase the diagnostic accuracy of conventional cognitive and imaging assessment in subjects with MCI.21 Longitudinal hippocampal volume losses in these patients are closely associated with increasing hyperphos-phorylated tau.22 In follow-up studies of MCI patients concentrations of these markers were strongly associated with further development of AD.23
The most predictive assay for AD among the patients with MCI seems to be the combination of Aβ42 and phophotau24 and accordingly the combination of high total tau/ phosphotau and low Aβ42 concentrations.25
The consistent feature of numerous studies points out that increased total tau and phosphotau concentrations are highly sensitive while low Aβ42 levels are more specific. It was interesting to note, however, that there might be an inverse relationship between brain amyloid deposition and Aβ42 concentration in cerebrospinal fluid.26
Additionally, assessment of the APOE genotype may allow an early high-risk and low-risk stratification27,28 with a greater deleterious effect of the APOEαE4 genotype on gross hippocampal pathology and memory function in women than in men.29
Various biomarkers have been selected for multicentre longitudinal studies of MCI and AD and for therapeutic trials. Regardless of these analyses, there is currently insufficient evidence for the use of blood biomarkers in predicting AD conversion amongst MCI subjects.

Neuroimaging

Investigations of brain morphology with magnetic resonance imaging (MRI) have demonstrated medial temporal lobe atrophy in people with MCI compound with cognitively normal individuals30,31 and this atrophy is predictive of progression to dementia.32,33 The variability of volumetric determinations of brain atrophy is rather high, and thresholds of abnormality are difficult to define. Therefore, functional measures were used additionally. Quantitative topographical electroencephalography can improve the diagnostic accuracy in dementias34 and MCI35, but these approaches suffer from high variability and restricted spatial resolution.
An additional special diagnostic tool in predicting conversion to probable AD can be the N-acetylaspartate/ creatinine ratio in the occipital cortex using proton magnetic resonance spectroscopy (1H-MRS).36
Positron emission tomography (PET) permits to measure quantitatively energy metabolism, blood flow, concentration of transmitters and receptors, amino-acid transport, and accumulation of ligands to abnormal proteins with high spatial resolution and was extensively applied to the study of various dementias and of cognitive impairment in ageing. Based on a large number of studies of regional glucose consumption with 18Fluor-deoxyglucose and PET,37 a multicentre study within the European Community defined discrimination thresholds between normals and AD patients which can be obtained in an automatic analysis of regional values of cerebral metabolic rate for glucose (CMRGlc).38 The calculated T-sums of reduction in regional CMRGlc are closely correlated to the score in mini-mental state examination (MMSE) and permit a reliable differentiation of patients from normal age matched controls.
Changes of regional CMRGlc were also found in many subjects with MCI and these changes were predictive of clinical progression to Alzheimer disease within a follow-up period of more than a year.30,39-44 These reduction of CMRGlc in AD typical brain regions were related to elevated phosphor-tau levels21 and combined to assessment of the APOE genotype improved identification of high-risk patients.28 Acetylcholine esterase activity as a marker of cholinergic activity is reduced in AD.45 The cholinergic system is important for memory functions, and therefore the decrease in AChE activity might be a predictor of conversion from MCI to AD.
In a preliminary study in eight subjects with MCI four patients showed significant decrease in cortical AChE activity; all of them converted to AD within the observation period of 18 months, whereas the 4 individuals with normal cortical AChE activity did not deteriorate.46 Another promising tracers for detection of deposition of amyloid – the hallmarks of AD – are 11C-labelled arylbenzothiazoles, known as Pittsburgh Compound-B.47 In cortical areas PIB retention was increased in AD and correlated inversely with cerebral glucose metabolism.48,49 As cerebrospinal fluid Aβ42 concentration is inversely related to amyloid deposition, it might be hypothesised that amyloid plaques act as a risk of Aβ42.26
Recent studies suggest that PIB-amyloid imaging may be sensitive for detection of preclinical AD states,50,51 but additional longitudinal studies are required to prove this hypothesis.
These new imaging and CSF tests are very promising for the prediction of prognosis which otherwise is uncertain for patients with a clinical diagnosis of MCI. The identification of MCI subjects with high risk of short term progression to AD might be essential for the development of treatment strategies to prevent or delay clinical deterioration,52 which have up to now not been successful.53

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