| Literature DB >> 33148345 |
Sheina Emrani1, Hirra A Arain2,3, Cassandra DeMarshall4, Tal Nuriel5,6.
Abstract
Possession of the ε4 allele of apolipoprotein E (APOE) is the primary genetic risk factor for the sporadic form of Alzheimer's disease (AD). While researchers have extensively characterized the impact that APOE ε4 (APOE4) has on the susceptibility of AD, far fewer studies have investigated the phenotypic differences of patients with AD who are APOE4 carriers vs. those who are non-carriers. In order to understand these differences, we performed a qualitative systematic literature review of the reported cognitive and pathological differences between APOE4-positive (APOE4+) vs. APOE4-negative (APOE4-) AD patients. The studies performed on this topic to date suggest that APOE4 is not only an important mediator of AD susceptibility, but that it likely confers specific phenotypic heterogeneity in AD presentation, as well. Specifically, APOE4+ AD patients appear to possess more tau accumulation and brain atrophy in the medial temporal lobe, resulting in greater memory impairment, compared to APOE4- AD patients. On the other hand, APOE4- AD patients appear to possess more tau accumulation and brain atrophy in the frontal and parietal lobes, resulting in greater impairment in executive function, visuospatial abilities, and language, compared to APOE4+ AD patients. Although more work is necessary to validate and interrogate these findings, these initial observations of pathological and cognitive heterogeneity between APOE4+ vs. APOE4- AD patients suggest that there is a fundamental divergence in AD manifestation related to APOE genotype, which may have important implications in regard to the therapeutic treatment of these two patient populations.Entities:
Keywords: AD; APOE; APOE4; Alzheimer’s disease; Apolipoprotein E; Heterogeneity
Mesh:
Substances:
Year: 2020 PMID: 33148345 PMCID: PMC7643479 DOI: 10.1186/s13195-020-00712-4
Source DB: PubMed Journal: Alzheimers Res Ther Impact factor: 8.823
Fig. 1Cognitive and pathological heterogeneity in APOE4+ vs. APOE4− AD patients. A representation of the heterogeneity reported in APOE4+ vs. APOE4− AD patients. APOE4+ AD patients possess relatively more tau accumulation and brain atrophy in their medial temporal lobe, resulting in greater memory impairment, compared to APOE4− AD patients. On the other hand, APOE4− AD patients possess relatively more tau accumulation and brain atrophy in their fronto-parietal lobes, resulting in greater impairment in executive function, visuospatial abilities, and language, compared to APOE4+ AD patients. The level of tau accumulation (brown) represents the levels observed in AD brains during Braak stages V–VI
Studies investigating the effects of APOE4 on the rate of cognitive decline in AD patients
| Study | Study details | Participant details | Study results |
|---|---|---|---|
| Cosentino et al. [ | 570 AD patients (WHICAP and Predictors Study cohorts) were recruited and followed for an average of 4 years. Outcome variable was a composite cognitive | Mean age for two population-based cohorts (WHICAP) and one clinic-based cohort (Predictors Study) participants was 81.97 ( | The effect of |
| Martins et al. [ | 218 AD patients (OPTIMA cohort) were evaluated for cognitive ability using the Cambridge Examination for Mental Disorders of the Elderly (CAMDEX) scale. | Mean age for | |
| Craft et al. [ | 201 probable AD patients were evaluated using the Dementia Rating Scale (DRS) and followed for 1–6 years to measure the rate of cognitive decline. | Mean age for | |
| Hirono et al. [ | 64 AD patients were evaluated using the ADAS-Cog and followed for 1 year to measure the rate of cognitive decline. | Mean age for | |
| Kanai et al. [ | 33 AD patients were evaluated with the Mini-Mental State Examination (MMSE) and CSF biomarkers, and followed for up to 20 months to measure the rate of cognitive decline. | Mean age for both | |
| Chang et al. [ | 104 AD patients (ADNI cohort) and 123 controls were evaluated for neuropsychological and morphometric changes stratified by age (young-old vs. very-old) and | Mean age of young-old | Young-old (≤ 75 years old) |
| Kleiman et al. [ | 366 AD patients were evaluated with the MMSE, ADAS-Cog, and daily function scales (Instrumental Activities of Daily Living, IADL; Alzheimer’s Disease Cooperative Study-Activities of Daily Living, ADCS-ADL), and followed for up to 1.8 years to measure the rate of cognitive decline. | Mean age for | |
| Growdon et al. [ | 66 probable AD patients were evaluated using nine cognitive tests assessing explicit memory, attention, language, visuospatial function, frontal-lobe function, and logical reasoning abilities for up to 5.5 years to measure the rate of cognitive decline. | 56% of study participants were female. Mean age for | |
| Holmes et al. [ | 164 late-onset AD patients were evaluated for cognitive and non-cognitive abilities to measure the rate of cognitive decline. | Mean age for | |
| Kurz et al. [ | 64 AD patients were evaluated using the Cambridge Cognitive Examination (CAMCOG), the MMSE, and the Dementia Scale (DS) included in the CAMDEX, and followed for over 3 years to measure the rate of cognitive decline. | The study included 14 males and 50 females, with an average age of 73. No ancestry information was provided. | |
| Basun et al. [ | 60 late-onset AD patients were evaluated using the MMSE over 3 years to measure the rate of cognitive decline. | Mean age for | |
| Murphy et al. [ | 86 probable AD patients were evaluated using the Mini-Mental State Examination (MMSE) over an average of 3.6 years to measure the rate of cognitive decline. | Participant details not available. | No association between |
| Farlow et al. [ | 959 AD patients were treated with either metrifonate or placebo for a period of up to 26 weeks to measure the effects of treatment and | Mean age (placebo) for | |
| Aerssens et al. [ | 1528 probable AD patients were treated with either galantamine or sabeluzole or placebo for a period of up to 1 year to measure the effects of treatment and | Mean age was 74.2 (59% female). No ancestry information was provided. | |
| Stern et al. [ | 99 probable AD patients (WHICAP cohort) were evaluated using a modified MMSE, as well as other cognitive and motor measures, and were followed biannually for up to 6 years to measure the rate of cognitive decline. | Mean age for | |
| Frisoni et al. [ | 62 sporadic late-onset (≥ 70 years of age) AD patients were evaluated using the MMSE and Clinical Dementia Rating (CDR) to measure the relationship between disease progression and | Mean age of | |
| Hoyt et al. [ | 189 probable AD patients were evaluated using individual growth curve analyses for up to 2 years to measure the rate of cognitive decline using various neuropsychological tests. | Mean age for | |
Studies investigating the effects of APOE4 on cognitive profiles in AD patients
| Study | Study details | Participant details | Study results |
|---|---|---|---|
| Marra et al. [ | 30 early-onset (< 65 years old) and 41 late-onset (> 70 years old) AD patients were evaluated for the effects of | Mean age of early-onset | |
| Snowden et al. [ | 523 AD patients were evaluated to explore the relationship between | Mean age of 60 (56% female). No ancestry information was provided. | |
| Lehtovirta et al. [ | 58 probable AD patients and 16 controls were evaluated for the effects of age (< 65 or ≥ 65) and disease type (sporadic or familial) on cognitive decline across various measures. | Mean age of | |
| Weintraub et al. [ | The | Mean age of symptom onset for PPA/AD was 60.9 (42.9% | DAT/AD patients were found to be enriched for the |
| Scheltens et al. [ | 1982 probable AD patients across four large cohorts (Amsterdam Dementia Cohort, ADNI, German Dementia Competence Network, and UCSF Memory and Aging Center) were clustered using neuropsychological data and assigned to either a memory or a non-memory group. | Mean age was 71 (64% | Across cohorts, AD patients in the non-memory clusters were less often |
| Smits et al. [ | 199 probable AD patients (Amsterdam Dementia Cohort) were evaluated using a neuropsychological battery to measure the effects of age of onset (≤ 65 years old or > 65 years old) and | Mean age of | |
| Davidson et al. [ | 627 mild/moderate AD patients were evaluated using cognitive screening tools including the MMSE and the Dementia Rating Scale-2 (DRS-2) to identify cognitive subgroups using latent class analysis. | Mean age was 63.4 for males and 63.8 for females (52% of total subjects were female). All participants were Caucasian. | Four classes were generated (Mild, Attention/Construction, Severe, Memory). The Mild class was the most likely to include |
| Schott et al. [ | 39 AD patients were assessed using the MMSE, neuropsychological tests, and MRI imaging to investigate | Mean age of the 10 “biparietal” AD patients was 56.1 (60% female). No ancestry information was provided. | 10 “biparietal AD” patients were identified and were found more likely to be |
| Hashimoto et al. [ | 138 probable AD patients were evaluated for cognitive abilities and regional brain volume using MRI-based techniques. | Mean age of all three groups, | No significant effects of |
| Wolk et al. [ | 91 mild AD patients (ADNI cohort) were evaluated for phenotypic differences in cognition and regional cortical volume. | Mean age for | |
| van der Vlies et al. [ | 229 probable AD patients were assessed for impairment in specific cognitive domains in relation to | Mean age of | |
| Kim et al. [ | 846 AD patients and 815 controls were divided into groups based on age (< 65, 65–74, ≥ 75 years) to evaluate regional brain volume and cognitive function in relation to | Mean age for the < 65 group was 58.1 ( | |
Studies investigating the effects of APOE4 on brain atrophy in AD patients
| Study | Study details | Participant details | Study results |
|---|---|---|---|
| Drzezga et al. [ | 32 moderate AD patients matched by demographics and level of cognitive impairment were evaluated for brain volume using cranial MRI and voxel-based morphometry (VBM). | Mean age for | Comparisons between |
| Jack et al. [ | 62 probable AD patients and 125 controls were evaluated for hippocampal volume using MRI. | Mean age for both the | Although the authors noted that both the AD and control groups trended towards an |
| Wolk et al. [ | 91 mild AD cases (ADNI cohort) were evaluated for cortical volume using MRI morphometric measures. | Mean age for | |
| Hashimoto et al. [ | 138 probable AD patients were evaluated for regional brain volume in the hippocampal formation, amygdaloid complex, and whole brain using MRI-based volumetry techniques. | Mean age of all three groups, | AD patients demonstrated greater atrophy in the hippocampus and amygdala with increasing |
| Kim et al. [ | 846 AD patients and 815 controls were divided into groups based on age (< 65, 65–74, ≥ 75 years old) to evaluate regional brain volume using MRI. | Mean age for the < 65 group was 58.1 ( | In total AD patients, a higher number of |
| Mattsson et al. [ | 65 Aß-positive AD patients (BioFINDER cohort) were evaluated for tau load and cortical thickness using 18F-AV-1451 PET and MRI, respectively. | Mean age for | |
| Filippini et al. [ | 83 AD cases were evaluated for regionally specific brain cortical volume using voxel-based morphometry (VBM). | Mean age of | Bilateral medial and anterior temporal lobes, including amygdala, hippocampal, and entorhinal cortex, and orbitofrontal gray matter volume decreased with increasing |
| Juottonen et al. [ | 27 probable AD patients and 31 controls were evaluated for entorhinal cortex volume using MRI. | Mean age of | |
| Pievani et al. [ | 29 AD patients and 29 age- and sex-matched controls were evaluated for cortical volume using MRI. | Mean age of | |
| Lehtovirta et al. [ | 58 probable AD patients and 34 age- and sex-matched controls were evaluated for hippocampal, amygdala, and frontal lobe volume, as well as cerebral blood flow, using MRI and SPECT, respectively. | Mean age of | |
| Lehtovirta et al. [ | 26 probable AD cases and 16 age- and sex-matched controls were evaluated for hippocampal, amygdala, and frontal lobe volume using MRI. | Mean age of | |
| Tanaka et al. [ | 34 probable AD patients and 22 controls were evaluated for morphological and functional changes using CT, MRI, and SPECT. | Mean age of | |
| Geroldi et al. [ | 28 mild to moderate AD patients and 30 controls were evaluated for hippocampal, entorhinal cortex, anterior temporal, and frontal lobe volume using MRI. | Mean age for the AD patients was 73 ( | There was increasing atrophy in the hippocampus, entorhinal cortex, and anterior temporal lobes with increasing |
Studies investigating the effects of APOE4 on amyloid plaques in AD patients
| Study | Study details | Participant details | Study results |
|---|---|---|---|
| Tiraboschi et al. [ | 296 AD autopsy cases were evaluated for amyloid plaques and NFTs in the hippocampus, and midfrontal, inferior parietal, and superior temporal cortices. | Mean age at death of | |
| Drzezga et al. [ | 32 moderate AD patients matched for demographic and cognitive impairment were evaluated for amyloid plaque deposition via PIB-PET imaging. | Mean age for | |
| Berg et al. [ | 186 AD autopsy cases and 13 controls were evaluated for multiple brain histological markers of AD, including brain densities of amyloid plaques and NFTs. | Broken down by CDR, the mean age at death of CDR = 0 was 82.4 ( | Controlling for dementia severity, plaque densities were weakly associated with |
| Rowe et al. [ | 53 mild AD, 57 MCI, and 177 control cases (AIBL cohort) were evaluated for amyloid plaque deposition via PIB-PET imaging. | Mean age of AD patients was 72.6 ( | |
| Landen et al. [ | 44 AD, 11 vascular dementia, and 29 age-matched control autopsy cases were evaluated for amyloid plaques and NFTs in the hippocampus and frontal cortex. | Mean age at death for | No association was found between |
| Ossenkoppele et al. [ | 22 | Mean age of | |
| Lehmann et al. [ | 52 probable AD and 52 control cases were evaluated for amyloid plaque deposition and brain metabolism using PIB-PET and FDG-PET, respectively. | Mean age for | |
Studies investigating the effects of APOE4 on neurofibrillary tangles in AD patients
| Study | Study details | Participant details | Study results |
|---|---|---|---|
| Petersen et al. [ | 94 AD autopsy cases enriched for atypical AD presentation were evaluated for patterns of regional NFT accumulation in six selected neocortical and hippocampal regions. | Age range at death for the entire group was 51–73 at age of onset and 63–86 at death ( | No significant difference in regional NFT density was found between |
| Murray et al. [ | 889 AD autopsy cases were used to study regional density and distribution of NFTs. Cases were classified as hippocampal-sparing, typical, or limbic predominant based on their relative NFT distribution. | Average age at death for the hippocampal-sparing subtype was 73 ( | Significantly more |
| Ossenkoppele et al. [ | 20 cases with either MCI or probable AD, and 15 Aß-negative cognitively normal individuals were evaluated for 18F-AV-1451 tau PET ligand uptake, as well as PIB-PET and FDG-PET. | Mean age for PCA patients was 63 ( | |
| Whitwell et al. [ | 62 Aß-positive AD patients were evaluated for 18F-AV-1451 tau PET ligand uptake in the entorhinal cortex (EC) relative to whole cortex (C). Using | Mean age for the ECLo/CLo group was 76 ( | |
| Mattsson et al. [ | 65 Aß-positive patients with either MCI or AD (BioFINDER cohort) were evaluated for 18F-AV-1451 tau PET ligand uptake and cortical thickness via MRI. | Mean age for | |
| Al-Shaikh et al. [ | 1361 AD subtypes and 103 controls (FLAME cohort) were assessed for NFT accumulation and neuronal density differences between different AD subtypes (hippocampal-sparing, typical, or limbic predominant). | Mean age at death for the hippocampal-sparing subtype was 72 ( | Within the “typical” AD group, |