Literature DB >> 35241933

Associations of Epstein-Barr Virus Infection with Attention Deficit Hyperactivity Disorder, Learning Disability, and Special Education in US Children.

Jingjing Wang1, Yaping Li2, Xiaozhen Geng2, Xin Zhang2, Yanfeng Xiao1, Wenjun Wang2.   

Abstract

BACKGROUND: Most infections of Epstein-Barr virus (EBV), which is potentially neurotropic, occur in childhood, but little is known about its association with child neurodevelopmental outcomes. PATIENTS AND METHODS: We investigated whether EBV seropositivity was associated with parent-reported attention deficit hyperactivity disorder (ADHD), learning disability, or special education utilization among children, using data from the National Health and Nutrition Examination Survey (NHANES) 2003-2004. Potential confounding factors were adjusted using survey logistic regression models.
RESULTS: EBV seroprevalence was 69.6% (95% CI, 67.1-72.1%) for US children aged 6-19. The prevalence was 8.86% (95% CI, 7.47-10.47%) for ADHD among 6-19 year olds, 11.70% (95% CI, 9.84-13.87%) for learning disability among 6-15 year olds, and 10.18% (95% CI, 8.58-12.05%) for special education among 6-17 year olds. Children with positive anti-EBV had higher crude prevalence rates of learning disability and special education but not ADHD compared with those with negative anti-EBV. The adjusted odds ratios were 2.76 (95% CI, 1.53-4.96) for learning disability, 3.58 (95% CI, 1.92-6.55) for special education, and 0.77 (95% CI, 0.42-1.38) for ADHD, when comparing children with positive and negative anti-EBV.
CONCLUSION: EBV seropositivity was associated with learning disability and special education among US children. Future studies that longitudinally examine the associations are warranted.
© 2022 Wang et al.

Entities:  

Keywords:  ADHD; EBV; NHANES; neurodevelopment

Year:  2022        PMID: 35241933      PMCID: PMC8887610          DOI: 10.2147/IJGM.S355263

Source DB:  PubMed          Journal:  Int J Gen Med        ISSN: 1178-7074


Introduction

Infection with Epstein-Barr virus (EBV), a member of the herpesvirus family, is very common worldwide. The infection usually occurs during childhood and adolescence. By adulthood, up to 90% individuals have been infected and have antibodies against the virus.1 EBV infection has a wide range of disease spectrum.2 Most infections go unnoticed or produce very mild symptoms. In some cases, EBV causes infectious mononucleosis, which is usually self-limited but occasionally can be life-threatening due to serious complications, especially complications of the central nervous system (CNS).3–5 What’s more, EBV was identified as the first oncogenic virus to human cancer, and has been linked to Burkitt’ lymphoma, B cell lymphoma, Hodgkin’s diseases, nasopharyngeal carcinoma, and gastric carcinoma.6 Its associations with autoimmune diseases have also been reported.7 Neurodevelopmental and learning problems in children are of great concern and infection is considered as one of the major contributors.8 Although the effects of maternal or congenital infections are more often described, evidence showed that infections in early to middle childhood can also lead to neurodevelopmental impairment,8 such as increased risk of attention deficit hyperactivity disorder (ADHD) following exposure to virus and bacteria.9,10 EBV is potentially neurotropic and most infections of EBV occur in childhood.5,11 Thus, it would be interesting to investigate whether EBV infection affects child neurodevelopmental outcomes. Involved studies usually focused on EBV infection and cognitive functioning, but their results are controversial.12–14 Studies of EBV and learning problems are lacking. In this study, we analyzed a large representative sample of US 6–19 years of age from the National Health and Nutrition Examination Survey (NHANES), to investigate whether EBV seropositivity was associated with reported attention deficit hyperactivity disorder, learning disability, or special education utilization.

Materials and Methods

Study Population

Data were from NHANES 2003–2004 (because only the 2003–2004 cycle had both EBV antibody test and child neurodevelopmental outcomes including ADHD, learning disability, and special education). The NHANES is a population-based survey, conducted by the National Center for Health Statistics (NCHS) to obtain a representative sample of the noninstitutionalized civilian population of the United States. The survey is based on a complex, multi-stage, stratified probability cluster design. It collects information on health and nutrition of the US household population and data are released to the public in 2-year cycles. Detailed survey procedures and consent documents of the NHANES 2003–2004 are available on the NCHS website (). In NHANES 2003–2004, EBV antibody testing was conducted among participants aged 6–19 years at the time of survey interview. Of the 3337 participants aged 6–19 years in the survey, 2870 had enough stored serum samples to test EBV antibody. Among these 2870 participants, 2849 had interpretable data on EBV infection. After excluding 2 individuals without any data on neurodevelopmental outcomes, the remaining 2847 participants constitute the study sample. In NHANES 2003–2004, ADHD was evaluated in participants aged 4–19 years, learning disability in participants aged 4–15 years, and special education utilization in participants aged 1–17 years. Thus, among the 2847 included participants, 2844 had available data for ADHD (aged 6–19 years), 1818 for learning disability (aged 6–15 years), and 2339 for special education utilization (aged 6–17 years) (Figure 1). The study was exempted from institutional review board approval through Second Affiliated Hospital of Xi’an Jiaotong University, because the NHANES data are open to the public and the participants are deidentified. The report followed the Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) guideline.
Figure 1

Determination of the study sample.

Determination of the study sample.

EBV Antibody Testing

Immunoglobulin (IgG) antibody against EBV viral capsid antigen was measured using a commercial enzyme immunoassay kit (Diamedix, Miami, FL). The sensitivity of the assay is 96.6% and the specificity is 97.7%. All QA/QC procedures recommended by the manufacturer were followed. A detailed description of laboratory methodology can be accessed on the NCHS website (). Data were recorded as positive (EIA index ≥ 1.10), negative (EIA index < 0.90), or equivocal (EIA index ≥ 0.90 to 1.09). Since only a small fraction of the subjects (~0.05%) were recorded as equivocal, they were excluded from our analysis.

Neurodevelopmental Outcomes

Neurodevelopmental outcomes included reported ADHD, learning disability, and special education utilization. The assessment was based on parental/guardian response. For ADHD assessment, the participants were asked “has a doctor or health professional ever told you/survey participant (SP) that you/s/he/SP had attention deficit disorder?” For learning disability assessment, the participants were asked “has a representative from a school or a health professional ever told you/SP that s/he/SP had a learning disability?” For the assessment of special education utilization, the question was as follows: “does SP receive special education or early intervention services?”

Confounding Variables

In addition to EBV infection and reported neurodevelopmental outcomes, NHANES 2003–2004 collected information on other covariates.15,16 Race/ethnicity was divided into four categories: non-Hispanic white, non-Hispanic black, Hispanic, and other. Educational level of the household reference person was divided into three categories: less than high school, high school completion or equivalent, and more than high school. Poverty level was evaluated using a poverty income ratio, which was based on self-report of family income, family size, and tables published annually by the US Census Bureau. Health insurance status of the participants was divided as insurance covered or not. Household size was coded as ≤ 4 or > 4. Whether there was a smoker in the home (yes/no) was used to evaluate smoke exposure of the included participants. Information about the participants’ early life included whether the child’s mother smoked during pregnancy (yes/no), mother’s age at child’s birth (< 25, 25–35, and ≥ 35), low birth weight (< 2500 g), receipt of any newborn care (e.g., in an intensive care unit, premature nursery, or any other type of special care facility), and attendance of day care or preschool.

Statistical Analysis

The overall and characteristic-specific EBV seroprevalences were presented as percentages and 95% confidence intervals (CIs). EBV seroprevalences by each participant characteristic were compared using the Rao-Scott chi-square tests, corrected for survey design. To assess associations between EBV infection and developmental outcomes (ADHD, learning disability, and special education utility), we used univariate and multivariate survey logistic regression models to estimate crude and adjusted odds ratios (ORs) and corresponding 95% CIs. For each developmental outcome, we constructed three models to assess its association with EBV infection: a) logistic regression models adjusted for age, sex, and race/ethnicity; b) logistic regression models further adjusted for socioeconomic factors, including poverty level, health insurance coverage, household size, smoker in the home, and educational level of the household reference person; c) full models also adjusted for early life characteristics, including whether the child’s mother smoked during pregnancy, mother’s age at child’s birth, low birth weight, receipt of any newborn care, and attendance of day care or preschool. Sampling weights were used in all analyses to provide accurate estimates that were representative of the US population during the survey time. All analyses were conducted with Stata/SE 12.0 (StataCorp LP, College Station, TX). All tests were 2-sided, and P < 0.05 was considered statistically significant. Data analysis was conducted from October to December 2020.

Results

Overall, antibodies to EBV were present in 80.54% (2293/2847) of the study population. Accounting for the survey design, the estimated EBV seroprevalence was 69.6% (95% CI, 67.1–72.1%) for US children aged 6–19. Characteristics of the 2847 participants and EBV seropositivity by participant characteristics are presented in Table 1. Characteristics associated with higher EBV seroprevalence were female gender, older age, Hispanics and Non-Hispanic Blacks, lower education level of household and family income, not covered by health insurance, larger household size, household smoke exposure, born to younger mothers, and not attending preschool (Table 1).
Table 1

Characteristics of the 2847 Participants Aged 6–19 and EBV Seroprevalence by Demographic Category

CharacteristicAll Participants N (%)EBV Negative Percentage (95% CI)EBV Positive Percentage (95% CI)P
Gender
 Male1436 (51.33)32.83 (29.34–36.53)67.17 (63.47–70.66)0.0461
 Female1411 (48.67)27.73 (24.39–31.33)72.27 (68.67–75.61)
Age, year<0.0001
 6–8395 (18.83)43.30 (36.80–50.03)56.70 (49.97–63.20)
 9–11439 (20.88)33.10 (27.30–39.48)66.90 (60.52–72.70)
 12–14769 (23.72)34.57 (29.85–39.63)65.43 (60.37–70.15)
 15–17738 (21.71)21.74 (17.63–26.50)78.26 (73.50–82.37)
 18–19506 (14.86)15.88 (11.70–21.21)84.12 (78.79–88.30)
Race/ethnicity<0.0001
 Non-Hispanic white733 (60.98)37.75 (34.13–41.52)62.25 (58.48–65.87)
 Non-Hispanic black1037 (16.11)14.29 (12.13–16.76)85.71 (83.24–87.87)
 Hispanic967 (17.72)18.45 (14.75–22.82)81.55 (77.18–85.25)
 Other110 (5.19)33.81 (23.44–46.02)66.19 (53.98–76.56)
Poverty income ratioa<0.0001
 Low (≤1.30)1228 (33.96)17.02 (14.04–20.48)82.98 (79.52–85.96)
 Middle (1.31–3.50)983 (36.69)32.45 (28.23–36.97)67.55 (63.03–71.77)
 High (>3.50)515 (29.35)44.03 (38.79–49.41)55.97 (50.59–61.21)
Health insurance status0.0001
 Insured2303 (86.94)32.15 (29.46–34.97)67.85 (65.03–70.54)
 Not insured507 (13.06)18.09 (13.14–24.40)81.91 (75.60–86.86)
Household education level<0.0001
 Less than high school921 (20.28)14.35 (10.91–18.64)85.65 (81.36–89.09)
 High school or equivalent712 (26.98)32.51 (27.70–37.72)67.49 (62.28–72.30)
 More than high school1099 (52.73)35.85 (32.18–39.70)64.15 (60.30–67.82)
Household size, n<0.0001
 ≤41374 (57.12)35.78 (32.36–39.36)64.22 (60.64–67.64)
 >41473 (42.88)23.11 (19.88–26.69)76.89 (73.31–80.12)
Household smoking0.0002
 No2170 (74.71)33.16 (30.27–36.19)66.84 (63.81–69.73)
 Yes650 (25.29)21.99 (17.81–26.83)78.01 (73.17–82.19)
Mother’s age at child’s birth<0.0001
 <25886 (40.73)26.11 (21.96–30.73)73.89 (69.27–78.04)
 25–34740 (47.84)41.36 (36.60–46.29)58.64 (53.71–63.40)
 ≥35165 (11.43)46.93 (37.12–56.98)53.07 (43.02–62.88)
Mother smoked while pregnant0.5901
 No1518 (80.52)36.15 (32.70–39.75)63.85 (60.25–67.30)
 Yes288 (19.48)33.89 (26.95–41.59)66.11 (58.41–73.05)
Low birth weight0.1533
 No (≥2500 g)1602 (91.07)36.43 (33.13–39.86)63.57 (60.14–66.87)
 Yes (<2500 g)201 (8.93)28.55 (19.90–39.13)71.45 (60.87–80.10)
Attended day care/preschool0.0256
 No535 (25.42)29.57 (24.08–35.72)70.43 (64.28–75.92)
 Yes1281 (74.58)37.73 (34.04–41.56)62.27 (58.44–65.96)
NICUb0.4581
 No1565 (87.82)36.14 (32.80–39.62)63.86 (60.38–67.20)
 Yes241 (12.18)32.48 (24.33–41.85)67.52 (58.15–75.67)

Notes: aCalculation was based on self-report of family income, family size, and tables published annually by the US Census Bureau. bReceipt of any newborn care (eg, in a neonatal intensive care unit, premature nursery, or any other type of special care facility).

Abbreviations: CI, confidence interval; EBV, Epstein-Barr virus; NICU, neonatal intensive care unit.

Characteristics of the 2847 Participants Aged 6–19 and EBV Seroprevalence by Demographic Category Notes: aCalculation was based on self-report of family income, family size, and tables published annually by the US Census Bureau. bReceipt of any newborn care (eg, in a neonatal intensive care unit, premature nursery, or any other type of special care facility). Abbreviations: CI, confidence interval; EBV, Epstein-Barr virus; NICU, neonatal intensive care unit. Parent-reported ADHD, learning disability, and special education were reported for 7.4% (209/2844), 12.1% (219/1818), and 9.8% (229/2339) of the study population, respectively. The co-occurrence of the neurodevelopmental outcomes is presented in Figure 2. Accounting for the survey design, the estimated prevalence among US children was 8.9% (95% CI, 7.5–10.5%) for ADHD among 6–19 year olds, 11.7% (95% CI, 9.8–13.9%) for learning disability among 6–15 year olds, and 10.2% (95% CI, 8.6–12.1%) for special education among 6–17 year olds.
Figure 2

The co-occurrence of the neurodevelopmental outcomes among the 1814 participants with information on all three outcomes.

The co-occurrence of the neurodevelopmental outcomes among the 1814 participants with information on all three outcomes. Children with positive anti-EBV had higher crude prevalence rates of parent-reported learning disability [14.9% (95% CI: 12.4–17.9%) vs 5.9% (95% CI: 3.9–8.7%)] and special education [12.8% (95% CI: 10.7–15.3%) vs 4.8% (95% CI: 3.1–7.4%)] but not ADHD [8.5% (95% CI: 7.0–10.4%) vs 9.7% (95% CI: 7.1–13.1%)] compared with those with negative anti-EBV (Table 2). The unadjusted ORs were 2.82 (95% CI, 1.76–4.53) for learning disability, 2.90 (95% CI, 1.76–4.80) for special education, and 0.87 (95% CI, 0.58–1.31) for ADHD. After adjusting for potential confounding variables using three multivariate logistic regression models, these ORs changed little (Table 2). The fully adjusted ORs was 2.76 (95% CI, 1.53–4.96) for learning disability, 3.58 (95% CI, 1.92–6.55) for special education, and 0.77 (95% CI, 0.42–1.38) for ADHD, when comparing children with positive and negative anti-EBV. In gender-stratified analyses, the corresponding ORs for learning disability and special education were larger among males than among females [for learning disability, 2.99 (95% CI: 1.47–6.07) vs 2.11 (95% CI: 0.79–5.62) and for special education, 5.42 (95% CI: 2.40–12.26) vs 2.06 (95% CI: 0.83–5.10)]. However, there were no significant EBV-gender interactions in the analyses of learning disability and special education.
Table 2

Relative Odds of Neurodevelopmental Outcomes Among EBV-Positive Children Compared with EBV-Negative Children

Crude Prevalence (95% CI)Odds Ratios (95% CI)
EBV-NegativeEBV-PositiveUnadjustedModel 1Model 2Model 3
ADHD9.7% (7.1–13.1%)8.5% (7.0–10.4%)0.87 (0.58–1.31)1.01 (0.65–1.57)0.94 (0.59–1.50)0.77 (0.42–1.38)
Learning disability5.9% (3.9–8.7%)14.9% (12.4–17.9%)2.82 (1.76–4.53)3.16 (1.86–5.36)2.72 (1.52–4.86)2.76 (1.53–4.96)
Special education4.8% (3.1–7.4%)12.8% (10.7–15.3%)2.90 (1.76–4.80)3.55 (2.07–6.08)3.32 (1.88–5.86)3.58 (1.92–6.65)

Notes: Model 1: survey logistic regression models adjusted for age, sex, and race/ethnicity. Model 2: survey logistic regression models further adjusted for socioeconomic factors, including poverty level, health insurance coverage, household size, smoker in the home, educational level of the household reference person. Model 3: full models also adjusted for early life characteristics, including whether the child’s mother smoked during pregnancy, mother’s age at child’s birth, low birth weight, receipt of any newborn care, and attendance of day care or preschool.

Abbreviations: ADHD, attention deficit hyperactivity disorder; CI, confidence interval; EBV, Epstein-Barr virus.

Relative Odds of Neurodevelopmental Outcomes Among EBV-Positive Children Compared with EBV-Negative Children Notes: Model 1: survey logistic regression models adjusted for age, sex, and race/ethnicity. Model 2: survey logistic regression models further adjusted for socioeconomic factors, including poverty level, health insurance coverage, household size, smoker in the home, educational level of the household reference person. Model 3: full models also adjusted for early life characteristics, including whether the child’s mother smoked during pregnancy, mother’s age at child’s birth, low birth weight, receipt of any newborn care, and attendance of day care or preschool. Abbreviations: ADHD, attention deficit hyperactivity disorder; CI, confidence interval; EBV, Epstein-Barr virus.

Discussion

In the current study, based on a large representative sample, we first found that EBV seropositivity was associated with learning disability and special education among US children. Using different models adjusting for potential confounding factors, these associations were strong and significant (Table 2). We found no association between EBV seropositivity and ADHD, which is consistent with previous studies.14,17 As shown in Figure 2, learning disability and special education had much overlap in population. Thus, ORs for the two outcomes are likely to have the same direction. To our knowledge, no previous studies have evaluated the association of EBV with learning disability in children and only one small-sized case-control study evaluated the association with special education.18 The authors found no significant difference in EBV seroprevalence among children receiving special education (30/56) and their healthy peers (26/56) in Hampshire, England.18 Thus, the associations of EBV with learning disability and special education in our findings need replication. EBV can cause injury to the CNS.3–5 CNS complications occur in 1–18% of patients with infectious mononucleosis and include meningitis, encephalitis, and psychiatric abnormalities.5 Especially in children, CNS complications can be the only clinical manifestations of EBV infection.19 Since the human CNS continues to develop throughout childhood and adolescence,20 infections of CNS during this period could increase the risk of neurodevelopment impairment. The impairment may be caused through direct CNS injury by pathogens, or through other pathways involving inflammation.8,21 Other EBV-associated diseases are also linked to neurodevelopment impairment. For example, studies found that EBV seropositivity is more common in pediatric patients with multiple sclerosis than in their healthy peers and the former tends to have cognitive impairment.22–24 Studies of general child populations failed to find a positive association of EBV with cognitive functioning.12–14 Khandaker et al found that early-life exposure to EBV was associated with lower, but not significant, IQ in adolescence from a population-based birth cohort in England.13 Karachaliou et al found no association of EBV seropositivity with cognitive development assessed with the McCarthy Scale of Children’s Abilities in 674 Greek children aged 4 years.14 Jonker et al also failed to find an association of EBV seropositivity at age 16 with immediate memory and executive functioning measured at age 18 in a Dutch adolescent population.12 But not like the current study, the three studies excluded children with neurodevelopmental conditions, while these children may have a learning disability and have the need for special education. Increased risks of pediatric ADHD have been previously documented for a range of infectious diseases (eg, gastrointestinal infections, influenza, enterovirus infection, shigellosis, and streptococcal infection),9,25–28 but not for EBV infection.14,17 Our finding of no association of EBV with ADHD is consistent with the previous reports. Our study has several strengths. The first is the representative sample of US child population and a relatively large sample size. Second, the ORs for learning disability and special education are relatively high and consistent in different models adjusted for potential confounding factors. Third, EBV antibody was tested using a robust EIA. Equivocal results only occurred in approximately 0.5% of the cases and testing results were 96.7% concordant with those of the former IFA standard.15 The main limitation of our study is the cross-sectional design, which is unable to draw causal inferences for the identified associations. EBV is spread by contact with oral secretions. Due to poor hand hygiene, children with a learning disability or receiving special education are more likely expected to be exposed to EBV.29 There are other mechanisms to explain the associations identified in our study. For example, EBV seropositivity is associated with susceptibility and severity of other infections in childhood, such as hand, foot, and mouth disease, of which severe cases may have neurodevelopmental sequelae.30 Thus, prospective studies to examine the associations identified in the current cross-sectional study are warranted. The other limitation is that the assessment of ADHD, learning disability, and special education utilization was based on parental/guardian response. The assessment, especially for ADHD and learning disability, lacked a clear definition, and parental/guardian response may be not very reliable. Categories of ADHD and learning disability, and medication use for ADHD were not available in NHANES. Age ranges for the three neurodevelopmental outcomes were not exactly the same. In addition, ADHD and conditions with learning disabilities or needing special education present heterogeneous groups of neurodevelopmental abnormalities.31,32 Future studies are suggested to collect data of high quality for neurodevelopmental outcomes. Another limitation is that NHANES is not designed to answer a specific question related to health. The datasets are explored and analyzed repeatedly by a number of researchers from a wide range of disciplines. Publication bias exists as studies with statistically significant results are more likely to be published than those without.33 As a result, the actual statistical power of studies based on NHANES is lower than that of a planned study for a specific question. Nevertheless, this would be less likely to change the findings of associations of EBV with learning disability and special education in our analyses due to their statistically significant and high ORs. Moreover, the survey was conducted nearly two decades ago. The associations identified in our study might have changed since then, for example, with the changes in environment and lifestyles, and emerging pandemic diseases such as the COVID-19.

Conclusion

In summary, we found that EBV seropositivity was associated with learning disability and special education among children. Therefore, if EBV is causally associated with conditions of learning disability and needing special education in childhood, prevention and/or treatment strategies of EBV infection could serve to reduce related conditions in the general US child population. Future studies that longitudinally examine the associations of EBV with learning disability and special education are warranted.
  32 in total

1.  Quantitative CSF PCR in Epstein-Barr virus infections of the central nervous system.

Authors:  Adriana Weinberg; Shaobing Li; Megan Palmer; Kenneth L Tyler
Journal:  Ann Neurol       Date:  2002-11       Impact factor: 10.422

2.  Factors adversely influencing neurodevelopment.

Authors:  T C Theoharides; M Kavalioti; R Martinotti
Journal:  J Biol Regul Homeost Agents       Date:  2019 Nov-Dec       Impact factor: 1.711

3.  Previous Epstein-Barr virus infections in children with special educational needs.

Authors:  C O Holme
Journal:  J Infect       Date:  1982-01       Impact factor: 6.072

Review 4.  Learning disabilities, dyslexia, and vision.

Authors:  Sheryl M Handler; Walter M Fierson
Journal:  Pediatrics       Date:  2011-02-28       Impact factor: 7.124

5.  Epstein-Barr virus infectious mononucleosis in children. I. Clinical and general laboratory findings.

Authors:  C V Sumaya; Y Ench
Journal:  Pediatrics       Date:  1985-06       Impact factor: 7.124

6.  Age-specific prevalence of Epstein-Barr virus infection among individuals aged 6-19 years in the United States and factors affecting its acquisition.

Authors:  Henry H Balfour; Frangiscos Sifakis; Joseph A Sliman; Jennifer A Knight; David O Schmeling; William Thomas
Journal:  J Infect Dis       Date:  2013-07-18       Impact factor: 5.226

Review 7.  The World Federation of ADHD International Consensus Statement: 208 Evidence-based conclusions about the disorder.

Authors:  Stephen V Faraone; Tobias Banaschewski; David Coghill; Yi Zheng; Joseph Biederman; Mark A Bellgrove; Jeffrey H Newcorn; Martin Gignac; Nouf M Al Saud; Iris Manor; Luis Augusto Rohde; Li Yang; Samuele Cortese; Doron Almagor; Mark A Stein; Turki H Albatti; Haya F Aljoudi; Mohammed M J Alqahtani; Philip Asherson; Lukoye Atwoli; Sven Bölte; Jan K Buitelaar; Cleo L Crunelle; David Daley; Søren Dalsgaard; Manfred Döpfner; Stacey Espinet; Michael Fitzgerald; Barbara Franke; Manfred Gerlach; Jan Haavik; Catharina A Hartman; Cynthia M Hartung; Stephen P Hinshaw; Pieter J Hoekstra; Chris Hollis; Scott H Kollins; J J Sandra Kooij; Jonna Kuntsi; Henrik Larsson; Tingyu Li; Jing Liu; Eugene Merzon; Gregory Mattingly; Paulo Mattos; Suzanne McCarthy; Amori Yee Mikami; Brooke S G Molina; Joel T Nigg; Diane Purper-Ouakil; Olayinka O Omigbodun; Guilherme V Polanczyk; Yehuda Pollak; Alison S Poulton; Ravi Philip Rajkumar; Andrew Reding; Andreas Reif; Katya Rubia; Julia Rucklidge; Marcel Romanos; J Antoni Ramos-Quiroga; Arnt Schellekens; Anouk Scheres; Renata Schoeman; Julie B Schweitzer; Henal Shah; Mary V Solanto; Edmund Sonuga-Barke; César Soutullo; Hans-Christoph Steinhausen; James M Swanson; Anita Thapar; Gail Tripp; Geurt van de Glind; Wim van den Brink; Saskia Van der Oord; Andre Venter; Benedetto Vitiello; Susanne Walitza; Yufeng Wang
Journal:  Neurosci Biobehav Rev       Date:  2021-02-04       Impact factor: 9.052

Review 8.  Epstein-Barr Virus and Multiple Sclerosis.

Authors:  Gunnar Houen; Nicole Hartwig Trier; Jette Lautrup Frederiksen
Journal:  Front Immunol       Date:  2020-12-17       Impact factor: 7.561

9.  Breastfeeding, previous Epstein-Barr virus infection, Enterovirus 71 infection, and rural residence are associated with the severity of hand, foot, and mouth disease.

Authors:  Yaping Li; Shuangsuo Dang; Huiling Deng; Wenjun Wang; Xiaoli Jia; Ning Gao; Mei Li; Jun Wang
Journal:  Eur J Pediatr       Date:  2013-01-24       Impact factor: 3.860

10.  A large population-based investigation into the genetics of susceptibility to gastrointestinal infections and the link between gastrointestinal infections and mental illness.

Authors:  Ron Nudel; Vivek Appadurai; Andrew J Schork; Alfonso Buil; Jonas Bybjerg-Grauholm; Anders D Børglum; Mark J Daly; Ole Mors; David M Hougaard; Preben Bo Mortensen; Thomas Werge; Merete Nordentoft; Wesley K Thompson; Michael E Benros
Journal:  Hum Genet       Date:  2020-03-09       Impact factor: 4.132

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