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Differential Methylation in APOE (Chr19; Exon Four; from 44,909,188 to 44,909,373/hg38) and Increased Apolipoprotein E Plasma Levels in Subjects with Mild Cognitive Impairment

Department of Neurology, Faculty of Medicine, Universidad Nacional de Colombia, Bogotá ZC 57, Colombia
Neurosciences Research Group, Faculty of Medicine, Universidad Nacional de Colombia, Bogotá ZC 57, Colombia
Genetic Institute, Universidad Nacional de Colombia, Bogotá ZC 57, Colombia
David Cabello International Alzheimer Disease Scholarship Fund, Houston Methodist Hospital, Houston, TX 77030, USA
Center for Evidence to Implementation, Bogotá ZC 57, Colombia
Health Technologies and Politics Assessment Group, Clinical Research Institute, Faculty of Medicine, Universidad Nacional de Colombia, Bogotá ZC 57, Colombia
PhD Program in Clinical and Translational Science, Department of Translational Research and of New Surgical and Medical Technologies, University of Pisa, 56128 Pisa, Italy
Laboratory of Neuroscience, University of Zulia, Maracaibo 4001, Venezuela
Department of Neurology, Methodist Neurological Institute and the Institute for Academic Medicine Houston Methodist Research Institute, Houston Methodist Hospital, Houston, TX 77030, USA
Weill Cornell Medical College, Department of Neurology, Cornell University, New York, NY 10065, USA
Hospital Universitario Nacional de Colombia, Bogotá ZC 57, Colombia
Author to whom correspondence should be addressed.
Int. J. Mol. Sci. 2019, 20(6), 1394;
Submission received: 30 January 2019 / Revised: 4 March 2019 / Accepted: 12 March 2019 / Published: 20 March 2019
(This article belongs to the Special Issue Molecular Mechanism of Alzheimer's Disease)


Background: Biomarkers are essential for identification of individuals at high risk of mild cognitive impairment (MCI) for potential prevention of dementia. We investigated DNA methylation in the APOE gene and apolipoprotein E (ApoE) plasma levels as MCI biomarkers in Colombian subjects with MCI and controls. Methods: In total, 100 participants were included (71% women; average age, 70 years; range, 43–91 years). MCI was diagnosed by neuropsychological testing, medical and social history, activities of daily living, cognitive symptoms and neuroimaging. Using multivariate logistic regression models adjusted by age and gender, we examined the risk association of MCI with plasma ApoE and APOE methylation. Results: MCI was diagnosed in 41 subjects (average age, 66.5 ± 9.6 years) and compared with 59 controls. Elevated plasma ApoE and APOE methylation of CpGs 165, 190, and 198 were risk factors for MCI (p < 0.05). Higher CpG-227 methylation correlated with lower risk for MCI (p = 0.002). Only CpG-227 was significantly correlated with plasma ApoE levels (correlation coefficient = −0.665; p = 0.008). Conclusion: Differential APOE methylation and increased plasma ApoE levels were correlated with MCI. These epigenetic patterns require confirmation in larger samples but could potentially be used as biomarkers to identify early stages of MCI.

Graphical Abstract

1. Introduction

Mild Cognitive Impairment (MCI) affects 3–20% of individuals older than 65 years, with prevalence rates varying according to geographic regions [1,2,3,4]. Approximately 20% of elderly individuals with diagnosed MCI would develop dementia [5,6]. Interestingly, although Hispanics from Latin America (LA) have almost two-fold higher risk of developing Late-Onset Alzheimer’s disease (LOAD) than Caucasian North Americans [7,8], the rates of MCI reported in individuals from the United States (US) [9,10] are notably higher than among Hispanics in LA (20% vs. <10%) [11]. This could be attributed to underdiagnosis of MCI in many regions of LA and failure to identify individuals at high risk for dementia. Additionally, numerous vascular risk factors associated with both MCI and dementia occur in Hispanics at higher rates and often with insufficient treatment, including hypertension, diabetes mellitus, smoking, sedentary lifestyle, hyperhomocysteinemia, obesity and dyslipidemia [12,13,14,15,16]. Thus, from the public health perspective, it is critical to implement new strategies to identify subjects at high risk for MCI to prevent and/or delay the development of dementia in this highly susceptible population.
The study of genetic traits is important to investigate the early stages of complex diseases such as AD. In fact, the ApoE-ε4 variant has been demonstrated to be the major genetic risk factor for AD in the general population [17]. The apolipoprotein E (ApoE) has three isoforms, ApoE-ε2, ApoE-ε3, and ApoE-ε4, with direct genetic correspondence to the ε2, ε3, and ε4 alleles. Besides the allelic variant, increased plasmatic apolipoprotein E levels have been examined in relation to AD risk [18]. However, reduced plasma apolipoprotein E levels have been considered a marker of progression of cognitive impairment independently of the APOE genotype [19,20]. Moreover, subjects with different dementia types and with one or two copies of the ε4 allele of the APOE gene exhibit decreased expression levels of serum apolipoprotein E with regard to both earlier onset of symptoms and deposits of beta-amyloid plaques [21,22,23].
Epigenetic modifications such as DNA methylation at CpG sites within the genome influence protein expression levels [24]. Hypermethylated promoters are primarily associated with gene expression inhibition [25]; however, in some instances, hypermethylation has been associated with enhanced expression of some genes such as TREM2 in LOAD [26]. The APOE gene has a bimodal methylation structure, with a hypomethylated CpG promoter and with comparatively hypermethylated CpG sites located in the APOE exon 4 to 3′ UTR region. In AD brains, the APOE CpG sites are differentially methylated in both a tissue-specific and an APOE genotype-specific manner [27].
Although the expression of APOE and its differential methylation levels in LOAD have been explored, there are no studies in subjects with MCI in LA describing the relationships between APOE methylation levels and apolipoprotein E differential expression. Therefore, we conducted this research study to estimate the DNA methylation levels for the APOE gene (Chr19; exon four; from 44,909,188 to 44,909,373) (Figure 1) and plasma levels of apolipoprotein E (ApoE) in a sample of LA subjects from Colombia with MCI; furthermore, we explored the relationships among APOE genotype, DNA methylation of the APOE gene and the risk of MCI.

2. Results

2.1. Baseline Characteristics

Of the total 100 participants evaluated, 41 had MCI and 59 were controls (Table 1). The mean age of the whole selected sample was 68.9 ± 9.5 years, and 71% (n = 71) were women with an age range of 43–91 years old. There was no statistically significant difference in the ApoE-ε4 distribution between MCI and controls.

2.2. Plasma ApoE Levels and APOE Methylation

Table 2 shows the genomic position of each CpG sites and compares the genotype traits between individuals with MCI and the normal control group. The plasma ApoE levels were higher among those with MCI (p < 0.001). APOE methylation of CpGs 118 (p = 0.009), 165 (p = 0.040), 190 (p = 0.045), 198 (p = 0.010) and 227 (p < 0.001) were lower in MCI participants (CpGs = 118, 165, 190, and 198) and only one was reversed (CpG-227). Comparisons between non-APOE-ε4 carriers and APOE-ε4 carriers (Table 3) showed that only CpG-148 was differently distributed (p = 0.003), being higher among APOE-ε4 carriers; the remaining CpG sites were similarly distributed (p > 0.05).

2.3. Plasma ApoE Levels and APOE Methylation Levels as Risk Factors for MCI

Logistic regression models adjusted by age and sex (Table 4) demonstrated that the increment on plasma ApoE levels (OR = 1.07; 95% CI = 1.02–1.13; p = 0.003), CpG-165 (OR = 1.20; 95% CI = 1.01–1.43; p = 0.045), and CpG-190 (OR = 1.52; 95% CI = 1.06–2.19; p = 0.042) can be considered risk factors for MCI. Higher CpG-227 methylation (OR = 0.49; 95% CI = 0.31–0.78; p = 0.002) correlated with lower risk for MCI.

2.4. Correlation between Plasma ApoE Levels and APOE Methylation Levels

The direct comparisons of plasma ApoE levels and APOE methylation are shown in Figure 2. We observed a trend for CpG-165 and CpG-19 but the association with plasma ApoE levels was not significant (p > 0.05). Moreover, we found a negative significant association between plasma ApoE levels and CpG-227 (p = 0.008).

3. Discussion

In the present study, we examined the association between plasma ApoE levels and APOE methylation in 14 CpGs in Chr19, exon IV; from 44,909,188 to 44,909,373 between participants with MCI and control subjects from Bogotá, Colombia, South America. Our key findings were: (i) individuals with MCI had increased plasma ApoE levels in contrast with healthy cognitive controls; (ii) rather than considering global methylation levels, we found that diverse APOE CpGs were differentially methylated when comparing participants with MCI and control subjects; (iii) after adjustment by age and sex, increments in ApoE plasma levels and CpG-165, CpG-190 and CpG-198 were found to be associated with increased risk of MCI, whereas lower CpG-227 methylation was related with lower risk; and (iv) only CpG-227 showed a significant correlation with plasma ApoE levels. Although confirmatory studies in larger samples are required, we suggest that assessment of MCI should include plasma ApoE levels and APOE methylation levels in order to identify individuals at high risk of developing dementia [28].
Previous studies have shown that decreased serum ApoE levels [28] and hypomethylation in the CpG-252 [26] (cg18799241) are risk factors for the development of dementia. We also found an inverse relationship in which higher plasma levels of ApoE were associated with MCI risk. Our findings might be due to differences in methylation patterns between cell types, with neurons holding higher global levels of DNA methylation [27] and with methylation variations in peripheral blood mononuclear cells related with shortening telomere length [29]. On the other hand, it should be noted that our study examined the possible pathophysiological process involved in a pre-dementia phase and thus our findings may suggest that high concentrations of ApoE would generate a more significant burden of amyloid beta deposition. This is supported by the fact that ApoE protein has a removal effect on amyloid beta [30]. However, this hypothesis cannot be verified with our current research model.
We report that serum ApoE and CpG regions were differentially methylated in MCI patients in contrast with the control group. We found both decreased and increased DNA methylation associated with MCI. Whether the increased DNA methylation of the APOE CpG-165, CpG-190 and CpG-198 is a cause or a consequence of cognitive decline remains to be studied. Foraker et al. [27] suggested an enhancer role of CGI that can be altered by DNA methylation and can modulate gene expression of both APOE and TOMM40 with possible implications in ApoE expression and mitochondrial function. Additionally, these alterations in DNA methylation within genes that are essential for the mitochondrial function could contribute to structural changes in protein and mRNA instability [31]. Our findings support this view, as we found that CpG-227 was correlated with plasma ApoE levels. Despite no statistically significant association, CpG-165 and CpG-190 showed a tendency in relation to ApoE plasma levels.
Liu et al. [32] suggested that hypermethylation levels at multiple CpGs in the APOE genomic region are associated with delayed recall during cognitive aging. A previous study of our group [33] found an absence of differences in global LINE-1 DNA methylation in LOAD subjects; however, this does not imply lack of alterations in DNA methylation for specific loci and their contribution to exonization events and lately in the epigenetic modifications of the landscape [31]. Consequently, global APOE DNA methylation can be useful to complement locus-specific subanalysis. In the same way, the ability to detect DNA methylation in patients with MCI could be enhanced by new approaches focused on specific cell-analysis, such as distinct cerebral cortex layers [27] and correlation with in vivo brain flow biomarkers [34,35,36,37,38].
Yu et al. [39] found that APOE CGI exhibits transcriptional enhancer or silencer activity, the mean percentage of methylation APOE CGI tends to be directly proportional with APOE expression, although it did not reach the cutoff value of statistical significance.
To the best of our knowledge, we found no previous studies analyzing the methylation pattern in this specific locus in subjects with MCI and its correlation with APOE transcriptional activity; therefore, the underlying mechanisms of transcriptional regulation of APOE and correlation with CpG 227 will need to be studied in a larger sample of patients with higher statistical significance.
Developing countries do not usually have advanced diagnostic methods that can be implemented to identify patients at high risk for MCI. Thus, the study of peripheral blood DNA methylation promises to be a useful pre-clinical biomarker of MCI.

4. Materials and Methods

4.1. Study Design and Population Sample

Participants from a cohort of Colombian patients enrolled at the Memory Clinic of the National University of Colombia agreed to participate in this research. Inclusion criteria were: (i) individuals free of dementia at baseline assessment; and (ii) available data of plasma ApoE or APOE methylation levels. Exclusion criteria were: a history of schizophrenia, manic-depressive disorders, schizoaffective disorder, drug/dependence abuse, severe brain trauma or significant disability or unstable medical conditions (i.e., chronic renal failure, chronic hepatic disease, or severe pulmonary disease) and thyroid disease with no hormonal substitution. From a total of 100 participants, 41 had plasma ApoE levels, and 59 had APOE methylation data available (only 18 participants had both genetic phenotypes). Informed consent was obtained from both the participants and their closest relatives. This study was approved by the ethics committee of the National University of Colombia Act 011-107-15 (01/07/2015). All participants, or their closest relatives, gave written informed consent before participating in this study.

4.2. Medical Evaluation

A clinical neurological assessment was performed and all available data were registered, such as personal clinical history, mental and neurological examination, cognitive screening tests, neuropsychiatric inventory, functional scales and blood tests, e.g., lipid profile, glucose, thyroid function, vitamin B12 and folate levels, hepatic and renal function, serology VDRL, and complete metabolic panel. For those participants with abnormal cognitive tests, brain magnetic resonance image (MRI) was obtained and reviewed in consultation with our multidisciplinary team during follow-up.

4.3. Neuropsychological (NP) Evaluation

We used the Neuronorma Colombia (Neuronorm-Col) diagnostic NP battery for cognitive assessment [40,41,42,43,44,45,46,47,48]. Neuronorm-Col consists of language tests (Boston Naming Test and Token Test), visuoconstructive skills (Rey–Osterrieth Complex Figure), attention and executive functions (WAIS-III Digit Retention Tests, Corsi Cubes, Trail Making Tests A and B (TMT A and B), Digit–Symbol Test (SDMT), Stroop Color–Word Test, Tower of London test, Win-Dingo Card Sorting Test and Verbal Fluency), and memory (Free and Cued Selective Reminding Test) [40,41,42,43,44,45,46,47,48].

4.4. Diagnostic Classification of the Participants

4.4.1. Mild Cognitive Impairment

MCI was diagnosed by consensus of a multidisciplinary group that included neurologists, neuropsychologists and neuroscientists, according to the criteria of Petersen et al. [4] modified from the Cognitive assessment test study described by Estrada-Orozco et al. [40]. Differential diagnosis of other related cognitive disorders was based on information from complete neuropsychological testing, medical and social history, activities of daily living, reported cognitive symptoms, and neuroimaging findings. Global cognitive functioning was assessed with the Neuronorm-Col diagnostic neuropsychological battery [40,41,42,43,44,45,46] and other functional scales [47,48]. NP criteria for MCI included scores 1.5–2.0 SD below education- and age-corrected values on at least two individual tests within a cognitive domain.

4.4.2. Normal Performance in Healthy Subjects

Criteria for normal performance were: (1) no more than one test score lower than expected within a cognitive domain; and (2) no more than two scores lower than expected across domains, with the threshold corresponding to 1.0 standard deviation (SD) below age-adjusted control means. Moreover, medical and social history, activities of daily living, reported cognitive symptoms, and neuroimaging findings were reviewed to classify the subjects as healthy normal controls.
The control group was composed of cognitively healthy subjects who were selected based on the performances obtained in the screening scales and in the Neuronorma-Colombia battery, a neuropsychological battery normalized to our population in the context of the Spanish Multicenter Normative Studies (NEURONORMA project) [40,41,42,43,44,45,46] The cognitive domains evaluated in this battery were: attention (TMT A, TMT B, SDMT, Stroop Test, and Verbal and Direct Visual Span), memory (Grober & Buschke Test, Rey–Osterrieth Complex Figure Evocation), language (Boston Naming Test, Token Test, Verbal Fluency), visual-constructional skills (Rey–Osterrieth Complex Figure Copy), and executive functions (Verbal Phonological Fluency, Tower of London, Interference Stroop Test, and Wisconsin Card Sorting Test).
The following scores were considered normal for the screening tests: Montreal Cognitive Assessment (MOCA) [49], >24; INECO Frontal Screening (IFS) [50], >17.5; Yesavage scale [51], <5; Neuropsychiatric inventory (NPI) [52], <4; and Modified Lawton scale [47], 14–14. In the Neuropsychological tests [40,41,42,43,44,45,46,47,49,50,51,52,53,54], the cutoff point was one standard deviation (<1 SD) below the mean according to Petersen criteria [4]. Therefore, subjects with scores below the mean or <1 SD in two or more tests evaluating the same cognitive domain were discarded as controls [4].

4.5. DNA Extraction and Bisulfite Treatment

Genomic DNA was isolated from blood from patients and controls using the kit ReliaPrep Blood gDNA Miniprep System™ (A5082-PROMEGA, Fitchburg, WI, USA) following the protocol recommended by the company. DNA was Quantified in a spectrophotometer NanoDrop2000c ThermoScientific and then saved at 4 °C. Subsequently, the isolated DNA was bisulfite-converted using the EZ DN Methylation-Direct Kit (D5021–ZymmoResearch, Irvine, CA, USA). We then evaluated the methylation status of the APOE-CGI (APOE-ExonVI-CpG118 to CpG252) located in Chr19:44,909,188–44,909,373.

4.6. Bisulfite Sequencing PCR (BSP)

The APOE-CGI primers sequences from APOE-F-(5′-TGGAGAAGGTGTAGGTT-3′) and APOE-R-(5′-TTATTAAACTAAAATCCACCCC-3′) were designed following the parameters proposed by Clark et al. [55]. and modified from Tusnady et al. [56]. Each amplification reaction contained 200 ng of DNA, 20 pmol of each primer, 10% dimethyl sulfoxide, two mM dNTP, and 0.125 U of Taq DNA. Both primers were used in a final concentration of 200 nmol/L. Specificity of the assay for converted DNA was verified with the inclusion of unconverted genomic DNA as a control (non-converted DNA Human Methylated & Non-Methylated DNA set D5014 Zymo Research) [57]. Conditions for BSP assay were 95 °C for 5 min, 40 cycles of 95 °C for 30 s, 58.2 °C for 30 s, and 72 °C for 45 s and standardized in a thermocycler C1000 touch (Bio-Rad, Hercules, CA, USA) Then, the products were purified and sequencing in a ABI PRISM 3500 (Applied Biosystem, Foster City, CA, USA). Methylation percentage for each sample was calculated by analysis with ESME (Epigenetic Sequencing Methylation analysis Software, USA) [33,58].

4.7. Apolipoprotein Plasma Levels

Genotyping for APOE ε2, ε/3 and /ε4 allelic variants was determined as previously described, and ApoE plasma levels [26] were measured [28] using ELISA technique (Thermofisher-Invitrogen Human Apo E (AD2) ELISA Kit, CA, USA).

4.8. Statistical Analysis

The continuous variables are presented as mean and standard deviation (±) while categorical ones are summarized as frequencies and percentages (%). Global methylation level was calculated averaging each of the CpG sites. We compared the ApoE plasma and APOE methylation levels between participants with MCI and control group. Those APOE methylation CpGs following a non-parametric distribution were analyzed using the U-Mann–Whitney test for determining statistically significant differences; for the remaining traits, we used a t-student test. For categorical variables, we used Chi-square test. The plasma ApoE and APOE methylation levels were compared according to the APOE allelic variants. To determine the risk association of plasma ApoE levels and APOE methylation with MCI, we performed multivariate-adjusted models accounting for age and sex. Regression models were performed in those genetic phenotypes with significant average differences. Finally, CpG sites found as risk factors for MCI were correlated with plasma ApoE levels using Pearson’s correlation or Spearman’s rank tests when appropriated. Data management and statistical analysis were performed using SPSS version 23 (statistical package for social science). Statistical significance was accepted at p < 0.05 for two-tailed tests.

5. Limitations

The present study must be interpreted within the context of its potential limitations. First, the population sample presents a risk of selection bias because analyzed individuals attended a specialized care center for patients with memory complaints. However, selection bias was minimized by local radio and television announcements in an effort to recruit healthy subjects. Second, the small sample size limits the generalization of the findings. Third, although unlikely, it is possible that peripheral cellular populations with normal DNA methylation levels could mask the detection of more substantial methylation changes [59].

6. Conclusions

We found that, depending on the CpG region, decreased or increased DNA methylation levels, as well as increased plasma ApoE levels, are potential biomarkers for MCI. These findings might have implications for clinical practice given that these peripheral blood genetic phenotypes could be used for the early diagnosis of MCI. Moreover, if a high-risk profile for vascular cognitive impairment is identified [14], clinical intervention strategies to treat and control modifiable risk factors [16] associated with MCI progression can be intensively implemented to prevent or delay the development of dementia [14,16]. Further studies are needed to confirm these findings and to clarify the risk-association of DNA methylation from different tissues with MCI and neuropsychological profile, and to determine whether the clinical intervention of controlling modifiable risk factors found in dementia can modify the DNA methylation pattern and reduce the risk for MCI progression.

Author Contributions

Conceptualization, G.C.R., O.M.-P., R.P.-T. and H.A.; Methodology, O.M.-P., K.E.-O., J.D.M. and E.G.; Validation, H.A., O.M.-P. and R.P.-T.; Formal Analysis, M.F.M., E.G., J.O.-R., D.S.-T. and J.D.M.; Investigation, O.M.-P., R.P.-T., K.B.-V., K.E.-O., F.C. and H.A.; Resources, H.A.; Data Curation, O.M.-P., K.B.-V., F.C., K.E.-O., E.V., H.A. and N.S.; Writing—Original Draft Preparation, O.M.-P., K.E.-O., J.D.M., D.S.-T., R.P.-T. and H.A.; Writing—Review and Editing, O.M.-P., H.A., K.E.-O., K.B.-V., D.S.-T., G.C.R, and R.P.-T.; Supervision, G.C.R., O.M.-P., R.P.-T. and H.A.; Project Administration, H.A.; and Funding Acquisition, G.C.R., O.M.-P. and H.A.


This work was supported by Colciencias (Code: 110171149904), grant agreement No. 848-2015 and by the Faculty of Medicine National University of Colombia, grant agreement No. 33350.


Mancera-Páez acknowledges the mentorship of Gustavo Román for this work. Mancera-Páez also acknowledges David Cabello for his support of the neurology education program at Houston Methodist Hospital. We thank Juan Camilo Vargas for methodological advice. Jesus Melgarejo acknowledges the support of the International Brain Research Organization (IBRO) for his research fellowship at the National University of Colombia’s Institute of Genetics through IBRO’s Latin America Regional Committee (LARC) short research training grant between July and December 2018. The authors would like to thank Colciencias for constant support to clinical research in Colombia.

Conflicts of Interest

The authors declare no conflict of interests.


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Figure 1. Schematic map of the human APOE gene. (A) The APOE gene contains four exons, is on the long arm of chromosome 19. (B) APOE gene structure (Red arrow) and the region evaluated in this study (Red box), (C). DNA sequence of the region evaluated by the BSP methodology, CpGs dinucleotides in red text and identification of each one in blue boxes. The genomic positions are described in Table 2.
Figure 1. Schematic map of the human APOE gene. (A) The APOE gene contains four exons, is on the long arm of chromosome 19. (B) APOE gene structure (Red arrow) and the region evaluated in this study (Red box), (C). DNA sequence of the region evaluated by the BSP methodology, CpGs dinucleotides in red text and identification of each one in blue boxes. The genomic positions are described in Table 2.
Ijms 20 01394 g001
Figure 2. Correlation between Plasmatic ApoE levels and APOE Methylation CpGs. The correlation coefficient and p values for (AC) were calculated using Pearson’s test; and for (D) we used the Spearman’s rank correlation.
Figure 2. Correlation between Plasmatic ApoE levels and APOE Methylation CpGs. The correlation coefficient and p values for (AC) were calculated using Pearson’s test; and for (D) we used the Spearman’s rank correlation.
Ijms 20 01394 g002
Table 1. Baseline characteristics of the selected sample according to individuals with mild cognitive impairment and normal controls.
Table 1. Baseline characteristics of the selected sample according to individuals with mild cognitive impairment and normal controls.
Baseline CharacteristicsWhole SampleMCIControlp Value *
(n = 100)(n = 41)(n = 59)
Demographic data
 Age, years
  Average68.9 ± 9.566.5 ± 9.670.5 ± 9.10.029
 Gender 0.008
  Women, n (%)71 (71.0)35 (85.4)36 (61.0)
  Men, n (%)29 (29.0)6 (14.6)23 (39.0)
Genetic traits
APOE-ε425 (25.0)10 (24.4)15 (25.4)0.999
MCI, mild cognitive impairment. * p value of comparison between controls and individuals with MCI. The Student t-test was used to calculate differences for average age and the Chi-square test for gender and APOE-ε4.
Table 2. Results of ApoE plasma levels and APOE methylation of CpGs sites and comparison between individuals with mild cognitive impairment and normal controls.
Table 2. Results of ApoE plasma levels and APOE methylation of CpGs sites and comparison between individuals with mild cognitive impairment and normal controls.
VariablesGenomic Position (hg38)Whole SampleMCIControlp Value *
(n = 100)(n = 41)(n = 59)
ApoE plasmatic Levels, mcg/mL-103.2 ± 26.5113.8 ± 26.486.0 ± 15.7<0.0001
Global methylation-91.9 ± 3.092.8 ± 2.691.6 ± 3.10.154
Methylation by CpG sites
  CpG118chr19:44,909,20885.6 ± 5.189.6 ± 4.184.7 ± 4.90.009
  CpG130chr19:44,909,22088.9 ± 7.189.0 ± 3.988.9 ± 7.60.484
  CpG133chr19:44,909,22387.9 ± 10.185.7 ± 13.388.4 ± 9.30.620
  CpG148chr19:44,909,23894.2 ± 4.294.9 ± 3.493.9 ± 4.40.255
  CpG162chr19:44,909,25289.7 ± 6.190.9 ± 3.989.3 ± 6.70.361
  CpG165chr19:44,909,25492 ± 5.294.5 ± 2.391.2 ± 5.60.040
  CpG182chr19:44,909,27295.2 ± 8.293.3 ± 11.795.9 ± 6.60.324
  CpG190chr19:44,909,28093.8 ± 5.896.4 ± 2.393.0 ± 6.30.045
  CpG198chr19:44,909,28890.8 ± 7.996.2 ± 3.189.3 ± 8.20.01
  CpG213chr19:44,909,30395.1 ± 6.796.6 ± 6.894.7 ± 6.70.212
  CpG215chr19:44,909,30590.7 ± 11.591.3 ± 12.990.5 ± 11.20.272
  CpG227chr19:44,909,31797.7 ± 2.395.6 ± 2.598.4 ± 1.8<0.0001
  CpG243chr19:44,909,33391.9 ± 10.492.5 ± 11.991.6 ± 9.90.157
  CpG252chr19:44,909,34290.4 ± 6.290.0 ± 6.190.6 ± 6.40.833
MCI, mild cognitive impairment. * p value of comparison between controls and MCI. Student t-test was used to calculate differences; U-Mann–Whitney for variables with non-parametric distribution.
Table 3. Values of ApoE plasma levels and APOE methylation of CpGs sites according to APOE genotype.
Table 3. Values of ApoE plasma levels and APOE methylation of CpGs sites according to APOE genotype.
VariablesNon-APOE-ε4 CarriersAPOE-ε4 Carriersp Value *
(n = 70)(n = 25)
ApoE plasma levels, mcg/mL106.0 ± 31.3103.0 ± 26.20.738
Global methylation92.2 ± 2.291.6 ± 3.30.557
Methylation by CpG Sites
  CpG11884.5 ± 6.085.8 ± 4.50.428
  CpG13090.9 ± 6.588.0 ± 7.30.079
  CpG13384.8 ± 11.989.9 ± 7.00.087
  CpG14896.2 ± 2.993.3 ± 4.40.003
  CpG16290.8 ± 3.189.4 ± 7.00.447
  CpG16589.7 ± 4.392.6 ± 5.40.076
  CpG18294.2 ± 10.195.4 ± 7.70.474
  CpG19095.0 ± 2.094.1 ± 3.10.316
  CpG19891.1 ± 4.691.4 ± 5.60.860
  CpG21395.6 ± 5.294.8 ± 7.40.872
  CpG21593.0 ± 8.189.6 ± 12.70.650
  CpG22797.5 ± 2.498.0 ± 2.10.482
  CpG24395.0 ± 3.690.0 ± 12.30.363
  CpG25289.9 ± 3.590.5 ± 7.30.200
* p Value of comparison between controls and individuals with MCI. The Student t-test was implemented for calculating differences. The remaining quantitative variables were analyzed by using U-Mann–Whitney as they followed a non-parametric distribution.
Table 4. Adjusted logistic regression models to examine the association of plasma ApoE levels and APOE methylation with mild cognitive impairment.
Table 4. Adjusted logistic regression models to examine the association of plasma ApoE levels and APOE methylation with mild cognitive impairment.
VariablesRisk for Mild Cognitive Impairment
Odds Ratios95% Confident Intervalp Value
Plasma ApoE levels1.071.02–1.130.003
APOE methylation -
CpG 1181.250.96–1.620.092
CpG 1651.201.01–1.430.045
CpG 1901.521.06–2.190.023
CpG 1981.301.01–1.670.042
CpG 227 *10.051.50–67.300.017
Models were adjusted by age and sex. * As CpG227 followed a non-parametric distribution, we divided it into four quartiles and <25th percentile was considered as the risk reference.

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Mancera-Páez, O.; Estrada-Orozco, K.; Mahecha, M.F.; Cruz, F.; Bonilla-Vargas, K.; Sandoval, N.; Guerrero, E.; Salcedo-Tacuma, D.; Melgarejo, J.D.; Vega, E.; et al. Differential Methylation in APOE (Chr19; Exon Four; from 44,909,188 to 44,909,373/hg38) and Increased Apolipoprotein E Plasma Levels in Subjects with Mild Cognitive Impairment. Int. J. Mol. Sci. 2019, 20, 1394.

AMA Style

Mancera-Páez O, Estrada-Orozco K, Mahecha MF, Cruz F, Bonilla-Vargas K, Sandoval N, Guerrero E, Salcedo-Tacuma D, Melgarejo JD, Vega E, et al. Differential Methylation in APOE (Chr19; Exon Four; from 44,909,188 to 44,909,373/hg38) and Increased Apolipoprotein E Plasma Levels in Subjects with Mild Cognitive Impairment. International Journal of Molecular Sciences. 2019; 20(6):1394.

Chicago/Turabian Style

Mancera-Páez, Oscar, Kelly Estrada-Orozco, María Fernanda Mahecha, Francy Cruz, Kely Bonilla-Vargas, Nicolás Sandoval, Esneyder Guerrero, David Salcedo-Tacuma, Jesús D. Melgarejo, Edwin Vega, and et al. 2019. "Differential Methylation in APOE (Chr19; Exon Four; from 44,909,188 to 44,909,373/hg38) and Increased Apolipoprotein E Plasma Levels in Subjects with Mild Cognitive Impairment" International Journal of Molecular Sciences 20, no. 6: 1394.

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