Abstract
Polymorphisms in the apolipoprotein E (APOE) have constituted the major rationale to identify potential risk groups for developing late-onset Alzheimer's disease and help to predict recovery of cognitive function after brain injury. However, the APOE impact on cognitive development in children living in poor areas of the developing world, where we have discovered profound significant associations of early childhood diarrhea (at 0–2 y) with lasting impairments of growth, cognition, and school performance, is not known. Therefore, we conducted APOE genotyping in 72 Brazilian shantytown children under active surveillance since birth, using purified DNA extracted from buccal cell samples. We found a high frequency of APOE4 alleles (18% versus 9–11% expected) in children with lower diarrhea burdens. When we examined the children who experienced the heavier diarrhea burdens (greater than or equal to the median of seven illnesses in the first 2 y of life), those with APOE4 did significantly better in the coding subtest (p = 0.01) when compared with APOE4-negative children with similar diarrhea burdens. Positive correlations between the APOE4 occurrence and coding scores remained, even after adjusting for family income, maternal education, and breast-feeding. Moreover, the APOE4-positive group, under heavy burdens of diarrhea, had preserved semantic fluency and the mean difference in fluency scores, p = 0.025, a standardized coefficient for disproportional verbal fluency impairment. Our findings show that APOE4 is relatively common in favela children and suggest a protective role of the APOE4 allele in children with a history of heavy burdens of diarrhea in their first 2 y of life.
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Main
Polymorphisms in APOE have been associated with poor outcomes after brain injury (1,2) and have constituted the major rationale to identify potential risk groups for developing late-onset Alzheimer's disease (3,4). However, little is known about how genetic markers such as APOE alleles influence the injurious effects of diarrheal illnesses on brain maturation.
Cognitive function in children is affected by environment, genetic determinants, and health-related factors. Risk factors that interfere with cognitive function are especially important during infancy because the first 2 y of life are an essential period of rapid growth and development.
In impoverished settings, children experiencing repeated diarrheal illnesses and malabsorption in their first years of life may have significant cognitive impairment (5,6). Malnutrition impairs brain development by decreasing the number of cell replication cycles (7), reducing total brain DNA (8), and restricting dendritic arborization (9), thus reducing connections between neurons. Synaptic connectivity is particularly affected if nutritional deprivation occurs between birth and the third year of life (10). Alteration in dietary precursors may affect tissue levels of neurotransmitters (serotonin, norepinephrine, dopamine, and acetylcholine) in specific brain regions (11,12). Essential and nonessential lipid supplies affect the structural composition of the brain and of myelin sheaths. Furthermore, functional outcomes correlate with these biochemical changes induced by malnutrition, as evidenced by alterations in the waking EEG activity and in visual and auditory evoked responses; motor and cognitive development, and social abilities (12,13).
Our group has documented that ECD illnesses and enteric infections are associated with profound effects on later physical and cognitive development (14–18). Recently, Peruvian studies have also demonstrated the association of shortfalls in intellectual functioning with early linear growth declines after ECD illnesses (19,20).
It has been demonstrated that there is no association between apolipoprotein E polymorphisms and general cognitive ability in healthy children (21). However, the APOE impact on cognitive development in children living in poor areas of the developing world, where we have discovered profound significant associations of early childhood diarrhea (at 0–2 y) with lasting impairments of growth, cognition, and school performance, is not known. Therefore, based on our previous findings, we have conducted APOE genotyping in 72 Brazilian shantytown cohort children under active surveillance since birth to evaluate the APOE influence on cognitive development in children challenged by heavy burdens of early childhood diarrhea.
METHODS
Population.
The study was conducted at Gonçalves Dias (population approximately 1800), a shantytown (favela) located in Fortaleza (population estimated at 2.1 million), capital city of the state of Ceará (population approximately 6 million) in Northeast Brazil. The Gonçalves Dias community has been described in greater detail elsewhere (16). The characteristics of the study population enrolling 72 Brazilian children were addressed longitudinally, as a part of ongoing prospective surveillance of a cohort children followed from birth. We have used the World Health Organization (WHO) guidelines to recognize an episode of diarrhea, as described by Moore and colleagues (17). One episode of diarrhea was defined as the excretion of three or more liquid or semiliquid stools in a 24-h period. A new episode was defined by a ≥48-h period not meeting the diarrhea definition. Recurrent and persistent episodes of diarrhea in this setting have been most significantly associated with Cryposporidium, Giardia, and enteroaggregative Escherichia coli infections (16). The mean number of diarrhea episodes in their first 2 y of life was 9.2 (± 6.9); only 25.0% of the mothers had completed primary schooling. Human Investigation Committees at both the University of Virginia and at the Federal University of Ceará approved the study protocol. The parent/legal guardian of the eligible children was approached by the study investigator or delegate (nurse of the field team) to explain the study. If they agreed, together they read and signed the approved consent form. Each child was screened for head circumference and height and was observed to be medically stable and engaged in community and academic activities. These children were administered three psychometric exams that are sensitive to components of executive function. Each child received a language-free, culturally neutral IQ examination using the Test of Nonverbal Intelligence III (TONI-3, Pro-Ed, Austin, TX).
Anthropometric measurements.
The field team measured the length and weight of study children. Length was measured supine to the nearest 0.1 cm with a measuring board. Length measurements were converted to HAZ, weight was converted to WAZ, and both indicators were converted to WHA, using anthropometric software (Epi Info, Centers for Disease Control, Atlanta, GA). These anthropometric z scores are the number of SD above or below the median values for the National Center for Health Statistics (NCHS) and International Reference Population, described elsewhere (22). A questionnaire was provided to assess socioeconomic and demographic data.
The supine length measurement of occipitofrontal head circumference was conducted as described by Zemel et al. (23), with the assumption that the shape of the head is determined during the early months of life.
Buccal cell collection (toothbrush-rinse method).
Each child was enrolled individually by a trained health worker (well known to the children), who conducted the sample collection. The health worker asked each child to gently swish and swallow 20 mL of drinking water to reduce food particles. The subject then dipped a sterile soft cytobrush in a cup containing 10 mL of drinking water to soften the bristles, brushing the buccal surface 10 times (one upstroke and one downstroke) and then expectorating the saliva into the 50-mL sterile polypropylene centrifuge tube, repeating the process in the opposite side of the cheek. Afterward, the subject swished 10-mL of water for 45 s, with the health worker timing, and expectorated into the same 50-mL tube. In the end, the technician slowly poured 5 mL of 99% ethanol over the bristles of the cytobrush into the same 50-mL tube to prevent bacterial overgrowth, and delivered it to the laboratory for processing within 4 h.
DNA extraction.
The DNA from buccal cell samples was isolated using a modification of a Gendra Puregene protocol (Gendra System, Minneapolis, MN), after steps of cell lysis, RNAse treatment, protein precipitation, DNA precipitation, and DNA hydration as described by London et al. (24).
APOE genotyping.
The experimental protocol involved an amplification of APOE sequences from genomic DNA and digestion by the action of H haI restriction enzyme first described by Hixson and Vernier (25).
DNA from buccal cells was purified and then amplified by PCR in a thermal cycler using oligonucleotide primers F4 (5′-GCACGGCTGCCAAGGAGCTGCAGGC-3′) and F6 (5′-GGCGCTCGCGGATGGCGCTGAG-3′), according to a protocol described by Addya et al. (26). In addition to the buffer, nucleotide components and 2.5 U of Taq polymerase described by the supplier of PCR master mix (Roche Molecular Biochemicals, Indianapolis, IN), each amplification reaction contains 1 μg of buccal cell DNA, 1–2 μM of each primer, and 10% DMSO in a final volume of 50 μL. The PCR condition included an initial step of 95°C for 4 min; 62°C, 30 s; 72°C, 1 min, followed by 39 cycles (95°C, 15 s; 62°C, 15 s; 70°C, 15 s), and by a final extension (72°C, 3 min) with a 4°C hold. The uncut amplification products, 10 μL out of the 50 μL PCR product, were electrophoresed in a 2% Ultrapure agarose gel (Invitrogen, Carlsbad, CA), containing 0.4 μg/mL ethidium bromide and 1.0 × TAE (Tris-acetate-EDTA).
After PCR amplification, 5 units of H haI (New England BioLabs, Beverly, MA) were added directly to each reaction mixture for digestion of APOE sequences (3 h at 37°C). This process does not require purification of PCR products or addition of specific buffer components for HhaI. Each reaction mixture was loaded onto a 4% gel agarose (3% Nursuive GTG gel + 1% Ultrapure gel), containing 0.4 μg ethidium bromide in 0.5 × TBE (Tris-borate-EDTA) and electrophoresed for 1 h under constant voltage (100 V). The gel was cast on a 10 × 15 cm tray. After electrophoresis, digested fragments were visualized by UV illumination. The sizes of HhaI fragments were estimated by comparison with known DNA ladders. Some samples were also sent for DNA sequencing and further genotype confirmation by analyzing the purified PCR product (Qia-Quick PCR Purification Kit, QIAGEN, Valencia, CA), generated by forward primer, described by Hixson and Vernier (25).
Cognitive tests.
The battery of tests was conducted in a standardized manner with instructions given in Portuguese in a quiet room by a trained health worker assisted by a neuropsychologist. They included three subtests: verbal fluency, coding, and Elithorn mazes. All cognitive tests were applied blindly with regard to the information of children's diarrhea histories. The verbal fluency tests were applied according to the NEPSY Developmental Neuropsychological Assessment booklet (The Psychological Corporation, San Antonio, TX), evaluating the ability to generate words in semantic categories and phonetic constraints. The semantic test required the children to say as many animal and then food names as possible in 1-min periods. The phonetic test required children to name words that start with F and then with S in 1-min trials. The total score was obtained by the number of words said, excluding proper names and avoiding words that do not belong to the category requested, nonsense words, and repetitions, mainly words in plural, different tenses, and diminutive forms. In the coding test, paired associated symbol recall (age 8–16 y) was administered according to the standard WISC-III (The Psychological Corporation) to evaluate visual short-term memory. The child was required to remember symbols associated with specific digits and to draw the corresponding symbol for each digit. The coding subtest scores the total number of errors in a 120-s trial and the number of correctly drawn symbols at each 30-s interval. The child was awarded with 1 point for each correctly drawn symbol. The total raw score was converted to a scaled score, according to the WISC-III record form. Elithorn mazes (age 8–16 y) designed by the WISC-III were administered by closely examining the child's ability to plan ahead and to inhibit impulsive responses. For each maze, the child was asked to draw a path through a specified number of dots to an exit at the top of the maze. Motor skills were analyzed considering motor planning on two trials, within 120 s for trial 1 and 60 s for trial 2 (administered only if trial 1 was failed within the first 60 s). The total subtest raw score was the sum of the earned points by the different criteria within the time limit, deducting points for wrong starts, failures to pass through a specified number of dots, cuts across interpassage lines, or going in an imprecise direction.
Statistics.
The data were analyzed with the SPSS statistical software package (SPSS, Inc, Chicago, IL) and GraphPad Prism software version 3.00 for Windows (San Diego, CA). allelic frequencies were determined by counting different alleles and calculating their proportions. Demographic characteristics were described in terms of rates and percentages. Likelihood ratio analysis of contingency table was used in the investigation of categorical variables (e.g. frequency of the different alleles among cohort children). Measurements of association among categorical variables were done using χ2 contingency tables, corrected by Mantel-Haenszel or Fisher exact test, and to verify whether the observed allele frequencies agreed with those expected, frequencies were input to confirm the hypothesis of Hardy-Weinberg (H-W) equilibrium, using a χ2 goodness-of-fit test. Multilinear regression and correlation analyses were performed to avoid other potential confounders, controlling for malnutrition indicators, socioeconomic status, mother educational level, and intestinal parasites. Student's unpaired t test was used for continuous terms.
RESULTS
DNA purification and APOE genotyping.
The toothbrush-rinse method used for collecting buccal cell DNA was suitable to field routine and well accepted by the children. The mean DNA yield (2.27 ± 2.45 μg) and 260/280 purity ratio (1.41 ± 0.35) obtained from 72 study samples provided high success rates for PCR amplification and restriction digestion.
Demographics.
The characteristics of cohort children according to APOE4 distribution are shown in Table 1. Mean values for all anthropometric variables and social backgrounds were similar between APOE4-positive children (who harbor genotypes 2/4, 3/4, or 4/4) and APOE4-negative children (who harbor genotypes 2/3, 2/2, or 3/3). The allelic and genotype distributions in the whole study population are depicted in Table 2. There was no statistical deviation from H-W equilibrium. The frequency of the allele ε4 (14.6%) was slightly higher in our cohort shantytown children when compared with expected 9–12% in general Brazilian population described recently in different surveys (27–29). However, when we divided the cohort children in two different groups, according to burdens of diarrhea in their first years of life, as seen in Table 2, the frequency of the allele 4 was even higher in the group with lower diarrhea episodes (less than the mean episodes of diarrhea in all children), 17.5%, when compared with neighborhood children with heavier burdens of diarrhea (more than the mean episodes of diarrhea of the whole population), 10.8%. In addition, the mean number of episodes of infantile diarrhea in ε4 carriers (8.2 ± 1.8, n = 21) was significantly lower (p < 0.001) when compared with noncarriers of ε4 alleles (9.7 ± 0.9, n = 51). It is noteworthy that the APOE4-positive group did not show the positive correlation (n = 17, r = 0.16, p = 0.53) between Giardia lamblia infection and episodes of diarrhea observed in the non-APOE4 carriers (n = 36, r = 0.42, p = 0.01).
Cognitive tests.
Unexpectedly, APOE4-negative children did not exhibit enhanced scores in all cognitive tests examined. Indeed, APOE4-positive children showed a trend of a better performance in all cognitive assessments, albeit not reaching statistical significance. Moreover, when we examined the children who experienced the heavier diarrhea burdens (greater than or equal to the median of seven illnesses in the first 2 y of life), those with APOE4 did significantly better in the coding subtest (p = 0.01) when compared with APOE4-negative children (Fig. 1a). In addition, we found a positive correlation between the occurrence of the ε4 allele and the coding scores (r = 0.295, p = 0.01). The ε4 remained a good predictor of coding scores, even after adjusting for family income, maternal education (β = 0.303, p < 0.05) and breast-feeding (β = 0.275, p = 0.03).
Furthermore, we found the APOE4-positive children had preserved semantic fluency, despite heavy burdens of diarrhea, which profoundly impaired semantic fluency in the APOE4-negative children, p < 0.01. In addition, the mean difference in fluency scores (DIFF = phonetic − semantic scores), a standardized coefficient for verbal fluency disproportional impairment, described by Cerhan et al. (30), was also preserved in the APOE4-positive children, despite heavy diarrhea burdens, p < 0.03 (Fig. 1, b and c). APOE4-positive children with heavy diarrhea burdens had higher total verbal fluency, as well (p < 0.05).
Genotypes and allele frequencies according to cognitive scores are shown in Table 3. As also highlighted in Table 3, the frequency of allele 4 was higher (χ2 = 4.34, p < 0.04) in the cohort children with higher TONI III scores (greater than the median of the test scores), but it was not sufficient to explain a statistical difference between APOE4-positive and -negative children in the whole population in regard to IQ mean scores. However, under heavy burdens of diarrhea (greater than or equal to the median of seven illnesses in the first 2 y of life), the high frequency of allele 4 (χ2 = 7.69, p = 0.01) in children with higher coding scores (greater than the median of the test scores), matched well with the better coding test scores of APOE4-positive children in comparison with cohort children not possessing the allele 4, as shown in Table 3 and Figure 1a.
DISCUSSION
Apolipoprotein E has a major physiologic role in the regulation of overall lipid homeostasis and also plays an important role in neuronal repair (31–33). It has been shown that apoE is mainly synthesized by astrocytes within which it is packaged with cholesterol and phospholipid to form lipid/protein complexes, which are then released into the extracellular space (34). These complexes bind to apoE receptors on the surfaces of nerve cells by which means they are internalized, thereby providing a mechanism for the maintenance and repair of cell membranes, the growth of neurites, and synaptogenesis (35).
The formation of synaptic contacts is a critical phase during brain development and plays a crucial role in long-term synaptic plasticity in the adult CNS (36). CNS neurons produce enough cholesterol to survive and grow, but the formation of numerous mature synapses demands additional amounts that must be provided by glia (37). Synthesis, transport, or uptake of cholesterol in the CNS may directly impact the development and plasticity of the synaptic circuitry. New lines of evidence indicate that cholesterol produced by glia cells and secreted in apoE-containing lipoproteins is the glial factor involved in regulation of synaptogenesis (38).
The APOE4 allele has been associated with an increased risk of cardiovascular disease and vascular atherogenesis by enhancing total plasma LDL cholesterol levels and has been defined as a genetic risk factor for developing late-onset Alzheimer's disease in most epidemiologic studies worldwide (39,40). In addition, the allele ε4 has also been alleged to determine poor recovery followed traumatic brain injury (1,2) and defective plasticity possibly due to a new gain-of-negative function due to a toxic insult in a dose-dependent manner (41). However, to date, few studies have addressed the allele ε4 impact on brain development and maturation. Recently, a new impetus in neurobiology research has suggested a protective effect of the allele ε4 during early development and embryogenesis (42,43), supporting these preliminary findings in shantytown children with early childhood diarrheal illnesses. The better cognitive outcomes of APOE4-positive children with a history of severe diarrhea in the formative first 2 y of life might be related to improved cholesterol absorption and delivery to developing neurons. Several studies have well documented the role of APOE polymorphism in regulating lipid profile even early in life, with children carrying the apoE4 phenotype showing higher absorption of dietary cholesterol than apoE3 children and greater TG, LDL-C, and apoB levels (44,45), predominantly in children with lowest birth weights (46). In addition, total plasma cholesterol levels may be affected by heavy burdens of malnourishing diarrhea (47,48). Although it is accepted that plasma cholesterol cannot cross the blood-brain barrier even during early brain development (most of the brain cholesterol is synthesized in situ) (49), it is possible that during rapid burst of neonatal development, brain cholesterol content may be modulated by cholesterol blood levels by an indirect signal pathway in response to cholesterol ingestion, as suggested by Boleman and colleagues (50). In support of this hypothesis, APOE4-positive children in our population with heavy diarrhea burdens had more preserved cognitive skills. During infancy, TG and LDL levels tend to be higher among breast-fed subjects than in bottle feeders (51). However, we cannot attribute our observed cognitive enhancement only to breast-feeding, because breast-feeding time did not correlate with any cognitive tests in children carrying the APOE4 allele (data not shown). Yet, we cannot rule out the possibility that nutrient deprivation and oxidative stress possibly induced by heavy diarrhea burdens might cause subtle changes in blood-brain barrier permeability (52).
Dietary cholesterol was shown to increase cortical density of apoE immunoreactive neurons in frontal and hippocampal cortex in the rabbit brain, which might be followed by increased lipid traffic and apoE-cholesterol remodeling (53). It is plausible to speculate that increased apoE expression may also enhance plasma cholesterol availability for the same human brain areas that are known to mature later during childhood and adolescence and also being the ones that show earliest signs of neurodegeneration (10). In addition, dietary cholesterol may also interfere with neural plasticity indirectly by affecting myelin gene expression (54).
Based on our results, we speculate that APOE4 might protect against diarrhea burdens by shifting cholesterol from availability to the enteric pathogenic parasites to the developing brain. Most of the parasites, including G. lamblia, which has been suggested to deleteriously affect growth and cognitive outcomes in shantytown children (20,54a), are unable to synthesize cholesterol, relying on the host intestinal sources (55). In addition, most of these parasites use host cholesterol via receptor-mediated endocytosis, involving the LDL-receptor pathway (56,57). APOE4 might interfere with LDL endocytosis or cholesterol translocation by the parasite, thus reducing their viability and improving infection. Better-designed and larger studies are warranted to test this hypothesis.
In our previous studies, we have identified a disproportional impairment in semantic fluency in shantytown children with heavier diarrhea illnesses in the first 2 y of life (54a). In this study, paradoxically, we have documented a protective function of the allele ε4 in semantic fluency but not phonetic fluency, suggesting different roles of apoE4 during early development and aging. Furthermore, our findings with coding testing, a cognitive assessment usually associated with working memory but which might also require long-term semantic memory (58), reinforces the advantage of children carrying the APOE4 allele who are challenged by heavy diarrhea burdens to perform categorical and linguistic tasks.
On the other hand, APOE4 carriers would develop increased serum levels of LDL and hepatic lipid accumulation, down-regulating LDL receptors in the liver and increasing competition for the receptor. Reduced fetal and neonatal growth would determine poor liver growth, additionally leading to down-regulation of hepatic receptors, possibly intensified by hepatic programming of the receptor gene expression (59,60). Therefore, despite early cognitive advantages, APOE4-positive children would be at greater risk for developing Alzheimer's disease and atherosclerosis later in life with increased caloric intake and little exercise during adulthood. Recently, findings from Moceri and colleagues (61) further reinforce the importance of early-life APOE gene–environmental associations and the risk for developing Alzheimer disease.
In summary, we have documented a potentially protective role of the APOE4 allele on cognitive development in shantytown children challenged by heavy burdens of early childhood diarrhea, possibly by increasing LDL cholesterol blood levels and by regulating LDL receptors in liver. Even though our findings provide support for the benefit of the allele ε4 during life-threatening diarrheal illnesses early in life, we acknowledge that this is a pilot study and that larger studies are needed. Nonetheless, we believe that this work will be critical for guiding novel research initiatives and more conclusive investigations to address how APOE polymorphisms may affect brain plasticity and synaptogenesis under environmental challenge. Further use of designs controlling for environmental factors and family-based pedigree analyses are now being planned to extend these preliminary findings.
Abbreviations
- APOE:
-
apolipoprotein E gene
- apoE:
-
apolipoprotein E protein
- DIFF:
-
mean difference in fluency scores
- ECD:
-
early childhood diarrhea
- HAZ:
-
height-for-age z score
- TG:
-
triglycerides
- WAZ:
-
weight-for-age z score
- WHZ:
-
weight-for-height z score
- WISC-III:
-
Wechsler Intelligence Scale for Children
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Acknowledgements
The authors thank the Brazilian health workers and the children who participated in our study and their families. We also thank Eliza Coleman for technical assistance and Dr. Debra G.D. Leonard for helpful comments.
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Supported in part by National Institutes of Health ICDR Grant no. 5-UOI AI 26512-14, ABC Grant no. 5D43 TW01136-04 and in part by TMRC Grant no.5 P50 AI30369–09 and Grant no. TW000909-05.
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Oriá, R., Patrick, P., Zhang, H. et al. APOE4 Protects the Cognitive Development in Children with Heavy Diarrhea Burdens in Northeast Brazil. Pediatr Res 57, 310–316 (2005). https://doi.org/10.1203/01.PDR.0000148719.82468.CA
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DOI: https://doi.org/10.1203/01.PDR.0000148719.82468.CA
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