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. Author manuscript; available in PMC: 2025 Nov 15.
Published in final edited form as: AIDS. 2024 Aug 28;38(14):1972–1977. doi: 10.1097/QAD.0000000000004000

Association between HIV and cytomegalovirus and neurocognitive outcomes among children with HIV

Jillian NEARY 1, Daisy CHEBET 2, Sarah BENKI-NUGENT 3, Hellen MORAA 2, Barbra A RICHARDSON 3,4, Irene NJUGUNA 3,5, Agnes LANGAT 2, Evelyn NGUGI 2, Dara A LEHMAN 3,6, Jennifer SLYKER 1,3, Dalton WAMALWA 2,*, Grace JOHN-STEWART 1,3,7,8,*
PMCID: PMC11524778  NIHMSID: NIHMS2019209  PMID: 39206927

Abstract

Objective(s):

Children with HIV may experience adverse neurocognitive outcomes despite antiretroviral therapy (ART). Cytomegalovirus (CMV) is common in children with HIV. Among children on ART, we examined the influences of early HIV viral load (VL) and CMV DNA on neurocognition.

Design:

We determined the association between pre-ART VL, cumulative VL, and CMV viremia and neurocognition using data from a cohort study.

Methods:

Children who initiated ART before 12 months of age were enrolled from 2007-2010 in Nairobi, Kenya. Blood was collected at enrollment and every 6 months thereafter. Four neurocognitive assessments with 12 domains were conducted when children were a median age of 7 years. Primary outcomes included cognitive ability, executive function, attention, and motor. Generalized linear models were used to determine associations between HIV VL (pre-ART and cumulative; N=38) and peak CMV DNA (by 24 months of age; N=20) and neurocognitive outcomes.

Results:

In adjusted models, higher peak CMV viremia by 24 months of age was associated with lower cognitive ability and motor z-scores. Higher pre-ART HIV VL was associated with lower executive function z-scores. Among secondary outcomes, higher pre-ART VL was associated with lower mean nonverbal and metacognition z-scores.

Conclusion:

Higher pre-ART VL and CMV DNA in infancy were associated with lower executive function, nonverbal and metacognition scores and cognitive ability scores in childhood, respectively. These findings suggest long-term benefits of early HIV viral suppression and CMV control on neurocognition.

Keywords: neurodevelopment, neurocognition, neuropsychology, HIV, viral load, children, cytomegalovirus

INTRODUCTION

Children with HIV often experience neurodevelopmental delays.[1,2] While early antiretroviral therapy (ART) initiation improves neurodevelopmental outcomes,[3-5] it does not fully mitigate adverse outcomes.[2,6,7] Viral suppression during infancy and early childhood has been associated with improved neurocognition among older children.[8-10] However, among children 5-7 years of age, central nervous system (CNS) damage persists despite early ART and viral suppression.[11-13]

The CNS is a protected site in terms of medication penetration and immune cell migration. Therefore, HIV viral replication in the CNS may contribute to long-term neurocognitive effects despite effective ART and systemic viral suppression. Persistence of HIV in the CNS could disrupt brain development and neuronal migration and function.[14]

Children with HIV have a higher risk of congenital cytomegalovirus (CMV) infection and earlier postnatal acquisition of CMV.[15,16] Congenital CMV can cause profound damage to the CNS with long-term effects on neurodevelopmental outcomes.[17] CMV is also an important opportunistic infection in people living with HIV,[18] and even in the absence of CMV-specific disease, has been associated with accelerated HIV disease progression.[19,20] There is also accumulating evidence that postnatal CMV acquisition could influence neurocognitive outcomes.[21,22] Understanding early biomarkers that predict neurocognitive outcomes could inform interventions and facilitate identification of children at high risk for neurocognitive delays. Using data from an ongoing cohort study, we aimed to determine the association between early viral load (VL) and CMV viremia on neurocognitive outcomes in school-aged children with HIV.

METHODS

This secondary longitudinal analysis was nested in the Optimizing Pediatric HIV treatment study (OPH, NCT00428116), which enrolled children who initiated ART by 12 months of age from September 2007 to August 2010 at Kenyatta National Hospital (KNH) in Nairobi, Kenya. The trial was conducted prior to the WHO recommendation of lifelong ART for all people with HIV. A subset of children who met pre-specified criteria were randomized to either treatment interruption (median: 4.3 [interquartile range: 3.5, 8.9] months) or continued treatment after 24 months of ART.[23] Blood samples were collected every 3 months for the first 24 months of follow up and every 6 months thereafter. Neurocognitive assessments were conducted at a median of 7 years of age. The study was approved by the University of Washington and Fred Hutchinson Cancer Center Institutional Review Boards and Kenyatta National Hospital/University of Nairobi Ethics and Research Committee. Caregivers provided written informed consent for their children’s participation.

HIV VL was quantified using the Gen-Probe assay on plasma samples, which had a lower limit of detection of 150 copies/ml. HIV VL area under the curve (AUC) from birth to the neurocognitive assessment was calculated using the trapezoidal rule with cubic splines. CMV DNA levels were measured from stored plasma specimens using real-time quantitative PCR as previously described,[24] with a limit of detection of one copy/reaction. Values were transformed to express measurements in international units (IU)/ml by dividing by 1.4. The PCR limit of detection was >1 copy per reaction or 35.7 IU/ml.[25] Peak CMV viremia by 24 months of age was measured by quantitative PCR on plasma with a lower limit of detection of 50 copies/ml for CMV DNA. Undetectable HIV VL and CMV DNA were designated half the value of the limit of detection.

Neurocognitive assessments included the Kaufman Assessment Battery for Children 2nd Edition (KABC),[26,27] the Behavior Rating Inventory of Executive Functioning (BRIEF),[28] the Bruinick's-Oseretsky Test of Motor Proficiency 2nd Edition Brief Form (BOT),[29] and the Visual Test of Variables of Attention (TOVA).[30] Four primary outcomes included cognitive ability from KABC, executive function from BRIEF, motor from BOT, and attention from TOVA. Secondary outcomes included short-term memory, visual-spatial, learning, non-verbal test performance, and delayed memory from the KABC; behavior regulation and metacognition from the BRIEF; and processing speed from the TOVA. All neurocognitive outcomes were normalized and presented as z-scores. Children were included in this analysis if they had one or more exposures of interest. Inverse probability weighting was used to account for differential missingness by age of enrollment. Generalized linear models were used to determine the association between pre-ART HIV VL, HIV VL AUC, and CMV DNA levels, and neurocognitive outcomes (Supplementary Table 1). Adjustment variables included infant sex at birth, caregiver education, and age at neurocognitive test. Benjamini-Hochberg approach was used to account for multiple comparisons for primary and secondary outcomes. Stata version 18.0 (Stata Corporation, College Station, Texas USA) was used for all analyses.

RESULTS

Of 38 children who completed neurocognitive assessments, 38 had data on pre-ART VL and 22 had CMV DNA levels measured prior to 24 months of age. Median age at ART initiation was 4.6 (interquartile range [IQR]: 4.1-5.3) months, half of the children were female (19 [50%]) and 42% were on a first-line protease inhibitor (PI)-based regimen. Twenty (91%) participants with CMV DNA levels had detectable CMV by 24 months of age. The majority of caregivers [37 (97%)] were the child’s biological mother. Of 22 participants in this analysis who met randomization criteria, 11 (50%) were randomized to the treatment interruption arm. Median caregiver age was 26 (IQR: 23-34) years and median caregiver years of education was 10 (IQR: 8-12) years (Table 1).

Table 1.

Characteristics of children with neurocognitive assessments

Participants with viral
load data
Participants with CMV
data
N Median (IQR)
N=38
N Median (IQR)
N=22
Age at ART initiation (months) 38 4.6 (4.1-5.3) 22 4.4 (3.6-4.6)
Child age at neurocognitive assessment (years) 38 7.1 (6.6-7.6) 22 6.8 (6.3-7.2)
Female (REF: Male) 38 19 (50%) 22 10 (45%)
PI-based regimen (all children) 38 16 (42%) 22 11 (50%)
PI-based regimen (no switches) 22 15 (68%) 15 10 (67%)
Ever breastfed 36 33 (92%) 22 21 (95%)
Ever hospitalized 38 21 (55%) 22 11 (50%)
Caregiver age (in years) 37 26. (23-34) 21 26 (24-29)
Highest level of education (binary) 38 22
 None/Primary 23 (61%) 14 (64%)
 Secondary/College 15 (39%) 8 (36%)
Caregiver number of years of education 32 10.0 (8.0-12.0) 20 10.0 (8.0-11.0)
Primary caregiver: biological mother (REF: Other) 38 37 (97%) 22 22 (100%)
Crowding (>3 people per room) 25 16 (64%) 22 9 (64%)
Monthly house rent (KSH) 37 1500 (1200-3750) 20 1500 (1100-3000)
Number of children randomized to interrupted ART 22 11 (50%) 11 5 (45%)
Baseline VL log10copies/ml 38 6.6 (6.0-7.0) 22 6.6 (6.0-7.2)
Age at baseline VL (months) 38 4.2 (3.6-5.0) 22 3.9 (3.4-4.3)
VL AUC (log10copies/ml-months) 38 215 (187-278) 22 243.3 (173.2-281.7)
Number of VL measures prior to neurocognitive assessment 38 29 (15-44) 22 29 (15-43)
Age at first viral suppression (months) 38 10 (8-14)
Viral suppression (<1,000 copies/ml) at neurocognitive assessment 38 26 (68%) 22 14 (64%)
CD4 percent 34 17.6 (14.0-24.0) 22 17.1 (14.0-22.0)
Detectable pre-ART CMV (REF: no pre-ART CMV) 19 16 (84%) 19 16 (84%)
Detectable CMV by 24 months of age 22 20 (91%) 22 20 (91%)
Peak CMV by 24 months of age (log10copies/ml) 20 4.3 (3.8-5.0) 20 4.3 (3.8-5.0)

Primary outcomes

In adjusted models, one log10 higher peak CMV viremia copies/ml was associated with 0.30 lower mean cognitive ability z-score (−0.30; 95% confidence interval [95%CI]: −0.56, −0.03; p=0.027). Peak CMV viremia was associated with lower mean motor z-scores (−0.24; 95%CI: −0.46, −0.01; p=0.04). Children with one log10 higher pre-ART HIV VL (−0.55; 95%CI: −0.99, −0.11; p=0.014) had lower mean executive function z-scores (Figure 1).

Figure 1. Predictors of neurodevelopmental outcomes among school-age children with HIV.

Figure 1.

Adjustment variables included infant sex at birth, caregiver education, and age at neurocognitive test. Pre-ART viral load HIV viral load area under the curve (AUC), and peak cytomegalovirus (CMV) were continuous exposures. Pre-ART viral load and peak cytomegalovirus DNA were log10 transformed.

Inline graphic HIV viral load

Inline graphic CMV

Secondary outcomes

One log10 higher pre-ART VL copies/ml was associated with 0.32 lower mean nonverbal and 0.77 lower mean metacognition z-scores (−0.32; 95%CI: −0.63, −0.02; p=0.037 and −0.77; 95%CI: −1.37, −0.18; p=0.011, respectively). Pre-ART HIV VL, HIV VL AUC, and peak CMV viremia were not associated with short-term memory, visual-spatial, learning, delayed memory, or processing speed z-scores (Supplemental Figure 1).

DISCUSSION

Higher pre-ART VL and early CMV levels were generally associated with poorer neurocognitive outcomes. Children with higher levels of pre-ART VL had lower mean executive function z-scores. Cognitive ability and motor scores were lower among children with higher CMV viremia.

Children with higher pre-ART HIV VL had significantly lower mean executive function, non-verbal, and metacognition z-scores, which aligns with existing evidence that has found that peak or early viral suppression is associated with better cognitive[8-10] and executive function scores.[19,31] In contrast to pre-ART VL, HIV VL AUC up to age at neurocognitive assessment was not associated with any neurocognitive outcomes, which aligned with our a priori hypothesis that pre-ART VL would be a better predictor of neurocognitive outcomes than AUC. The CNS is a sanctuary site for HIV-1, with evidence of persistent HIV replication despite ART.[32-34] The CNS is protected by a highly selective semipermeable blood-brain barrier, which makes it difficult for ART to enter the CNS.[34,35] HIV VL in plasma and in cerebrospinal fluid (CSF) are not well-correlated in children and adults after long duration of ART.[32,33,36-38] Some studies have found detectable HIV VL in cerebrospinal fluid among children and adults with sustained undetectable VL.[32,39] Plasma HIV VL during acute infection, however, has been associated with viral seeding of the CNS,[40] and there is evidence that VL in plasma and CSF are correlated immediately after ART initiation.[41-43] Thus, pre-ART VL better predicts long-term outcomes of children. Our findings suggest that obtaining VL prior to initiating ART could be useful to identify children who need more intensive follow-up for neurocognitive assessments. Our findings also underscore the importance of early infant HIV diagnosis programs for improving long-term neurocognitive outcomes among children with HIV. In 2021, only 52% of children with HIV were on ART;[44] innovative approaches to improve early infant diagnosis and linkage to care and treatment are necessary for improving long-term health and cognitive outcomes for children with HIV.

Few studies have evaluated CMV and neurocognitive outcomes in children, most of which have compared children with and without CMV infection, rather than assessing impact of levels of early CMV viremia. In the absence of maternal ART, up to 30% of children with in utero HIV infection may also acquire CMV in utero.[15,16] Given the age at which children in our cohort were enrolled, we were unable to determine which children may have had congenital CMV infection, which could account for the associations with neurocognition observed in our study. CMV causes a dramatic increase in cellular activation among diverse cell subsets.[45,46] Postnatal CMV acquisition could also affect neurocognitive outcomes through persistent immune activation and trafficking of activated innate cells, such as macrophages to the CNS. Consistent with this hypothesis, CMV infection has been found to be associated with increased levels of soluble CD163, an indicator of monocyte activation.[47] CMV seropositivity or infection has been associated with adverse neurodevelopmental[22] and neurocognitive outcomes,[21] , respectively. The latter study found that at 8 years of age CMV infection was associated with lower intelligence quotient but not any other neurocognitive outcomes.[21] We found that children with higher peak CMV viremia by 24 months of age had lower mean cognitive ability and mean motor z-scores at a median of 7 years of age. Our findings, in addition to the larger body of research that has found associations between CMV and neurocognition, suggest that measures to prevent CMV infection or reduce CMV viremia – including early ART initiation – could improve neurocognitive outcomes among children with HIV.

There are effective interventions to support children to overcome neurodevelopmental deficits.[48] A randomized controlled trial in Uganda found that computerized cognitive rehabilitation training can be effective for improving neurocognitive outcomes among children with HIV.[49] Additionally, caregiver training, non-computerized cognitive training, and interventions focused on improving child physical activity and nutrition have been effective in improving certain neurodevelopmental domains.[48] Our study found that pre-ART viral load and CMV viremia had impact on specific clinically relevant domains. Executive function and cognition have been associated with academic performance and social connection.[50,51] Motor and cognitive skills are often correlated, as motor skills can help children learn from their environment.[52] Therefore, early interventions to improve these neurocognitive domains could have a long-term impact. Given accumulating evidence that high pre-ART viral load and CMV viremia may influence neurocognition, it may be useful to focus on providing effective evidence-based interventions to children with higher pre-ART VL and CMV viremia during infancy.

This secondary analysis leveraged data from a longitudinal cohort of plasma pre-ART VL, repeated VL, and early CMV DNA measures with neurocognitive assessments conducted at a median of 7 years of age. We had small sample sizes of children with CMV DNA data which may have limited our ability to detect differences. We were not able to assess HIV VL or DNA in the CNS, which would be more biologically relevant to neurocognition. We also were unable to diagnose congenital CMV in this cohort.

Higher pre-ART VL and CMV viremia were associated with lower neurocognitive scores. Efforts to improve early ART initiation could improve neurocognitive outcomes for children with HIV. Findings from this study could inform future research and strategies to identify and support children with HIV who are most in need of effective interventions that could improve neurocognition.

Supplementary Material

Supplementary Figure 1

Supplementary Figure 1. Inline graphic HIV viral load

Inline graphic CMV

Supplementary Table 1

ACKNOWLEDGMENTS

We are grateful to the children and families who participated in this research, to the clinic and laboratory staff who provide clinical care and monitoring of this cohort, and to the Comprehensive Care Clinic and Kenyatta National Hospital where the research was conducted. We are also grateful to Julie Overbaugh at Fred Hutchinson Cancer Center for providing advice, human immunodeficiency virus (HIV) viral load testing, and technical support.

SOURCES OF FUNDING

This work was supported by the National Institutes of Health (NIH) (Eunice Kennedy Shriver National Institute Of Child Health & Human Development of the National Institutes of Health under Award Number F31HD106261 to JN and National Institute of Allergy and Infectious Diseases grants K01AI087369 to JAS [principal investigator (PI)] and R01 AI076105 to Julie Overbaugh [PI] and Stroke grant K01 NS080637 to SBN and Fogarty International Center K43 TW 011422-01A1 to IN and Eunice Kennedy Shriver National Institute of Child Health and Human Development grants R01HD-23412 and K24HD054314 to G. J. S. [PI] and R01HD094718 to DAL and GJS [MPIs]) and K01MH121124 to ADW, the University of Washington Center for AIDS Research (New Investigator and HIV-Associated Malignancy Awards; the Center is funded by NIH grant P30AI027757), and the University Washington Global Center for Integrated Health of Women, Adolescents and Children.

Sources of Funding:

This work was supported by the National Institutes of Health (NIH) (Eunice Kennedy Shriver National Institute Of Child Health & Human Development of the National Institutes of Health under Award Number F31HD106261 to JN and National Institute of Allergy and Infectious Diseases grants K01AI087369 to JAS [principal investigator (PI)] and R01 AI076105-07S1 to Julie Overbaugh [PI] and National Institutes of Neurological Disorders and Stroke grant K01 NS080637 to SBN and Fogarty International Center K43 TW 011422-01A1 to IN and Eunice Kennedy Shriver National Institute of Child Health and Human Development grants R01HD-23412 and K24HD054314 to G. J. S. [PI] and R01HD094718 to DAL and GJS [MPIs]), the University of Washington Center for AIDS Research (New Investigator and HIV-Associated Malignancy Awards; the Center is funded by NIH grant P30AI027757), and the University Washington Global Center for Integrated Health of Women, Adolescents and Children. REDCap was supported by UL1 TR002319, KL2 TR002317, and TL1 TR002318 from NCATS/NIH.

Footnotes

CONFLICTS OF INTEREST

No conflicts of interest declared.

REFERENCES

  • 1.Glenn Fowler M, Boivin MJ, Familiar I, Nyangoma B. Central nervous system and neurodevelopmental outcomes of HIV + and HIV exposed children: A mini review of recent findings and lessons learned from the field. Neurosci Lett. 2022; 775. doi: 10.1016/j.neulet.2022.136501 [DOI] [PubMed] [Google Scholar]
  • 2.Boivin MJ, Barlow-Mosha L, Chernoff MC, Laughton B, Zimmer B, Joyce C, et al. Neuropsychological performance in African children with HIV enrolled in a multisite antiretroviral clinical trial. AIDS 2018; 32:189–204. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 3.Gómez LA, Crowell CS, Njuguna I, Cranmer LM, Wamalwa D, Chebet D, et al. Improved Neurodevelopment After Initiation of Antiretroviral Therapy in Human Immunodeficiency Virus-infected Children. Pediatr Infect Dis J 2018; 37:916–922. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 4.Laughton B, Naidoo S, Dobbels EFMT, Boivin MJ, van Rensburg AJ, Glashoff RH, et al. Neurodevelopment at 11 months after starting antiretroviral therapy within 3 weeks of life. South Afr J HIV Med 2019; 20. doi: 10.4102/sajhivmed.v20i1.1008 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 5.Laughton B, Cornell M, Kidd M, Springer PE, Er Ese Dobbels M-T, Janse A, et al. Five year neurodevelopment outcomes of perinatally HIV-infected children on early limited or deferred continuous antiretroviral therapy. Published Online First: 2018. doi: 10.1002/jia2.25106/full [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 6.Boivin MJ, Chernoff M, Fairlie L, Laughton B, Zimmer B, Joyce C, et al. African multi-site 2-year neuropsychological study of school-age children perinatally infected, exposed, and unexposed to human immunodeficiency virus. Clinical Infectious Diseases 2020; 71:E105–E114. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 7.Benki-Nugent S, Wamalwa D, Langat A, Tapia K, Adhiambo J, Chebet D, et al. Comparison of developmental milestone attainment in early treated HIV-infected infants versus HIV-unexposed infants: A prospective cohort study. BMC Pediatr 2017; 17. doi: 10.1186/s12887-017-0776-1 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 8.Weber V, Radeloff D, Reimers B, Salzmann-Manrique E, Bader P, Schwabe D, et al. Neurocognitive development in HIV-positive children is correlated with plasma viral loads in early childhood. Medicine (United States) 2017; 96. doi: 10.1097/MD.0000000000006867 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 9.Crowell CS, Huo Y, Tassiopoulos K, Malee KM, Yogev R, Hazra R, et al. Early viral suppression improves neurocognitive outcomes in HIV-infected children. AIDS 2015; 29:295–304. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 10.Smith R, Chernoff M, Williams PL, Malee KM, Sirois PA, Kammerer B, et al. Impact of HIV severity on cognitive and adaptive functioning during childhood and adolescence. Pediatric Infectious Disease Journal 2012; 31:592–598. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 11.Ackermann C, Andronikou S, Saleh MG, Laughton B, Alhamud AA, Van Der Kouwe A, et al. Early antiretroviral therapy in HIV-infected children is associated with diffuse white matter structural abnormality and corpus callosum sparing. In: American Journal of Neuroradiology.American Society of Neuroradiology; 2016. pp. 2363–2369. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 12.Randall SR, Warton CMR, Holmes MJ, Cotton MF, Laughton B, van der Kouwe AJW, et al. Larger subcortical gray matter structures and smaller corpora callosa at age 5 years in HIV infected children on early ART. Front Neuroanat 2017; 11. doi: 10.3389/fnana.2017.00095 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 13.Nwosu EC, Robertson FC, Holmes MJ, Cotton MF, Dobbels E, Little F, et al. Altered brain morphometry in 7-year old HIV-infected children on early ART. Metab Brain Dis 2018; 33:523–535. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 14.Benki-Nugent S, Boivin MJ. Neurocognitive Complications of Pediatric HIV Infections. ; 2019. doi: 10.1007/7854_2019_102 [DOI] [PubMed] [Google Scholar]
  • 15.Slyker JA, Lohman-Payne BL, John-Stewart GC, Maleche-Obimbo E, Emery S, Richardson B, et al. Acute cytomegalovirus infection in Kenyan HIV-infected infants. AIDS 2009; 23:2173–2181. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 16.Doyle M, Atkins JT, Rivera-Matos IR. Congenital Cytomegalovirus Infection in Infants Infected with Human Immunodeficiency Virus Type 1. Pediatr Infect Dis J 1996; 15:1102–1106. [DOI] [PubMed] [Google Scholar]
  • 17.Keymeulen A, De Leenheer E, Casaer A, Cossey V, Laroche S, Mahieu L, et al. Neurodevelopmental outcome in children with congenital cytomegalovirus infection: A prospective multicenter cohort study. Early Hum Dev 2023; 182. doi: 10.1016/j.earlhumdev.2023.105777 [DOI] [PubMed] [Google Scholar]
  • 18.Grønborg HL, Jespersen S, Hønge BL, Jensen-Fangel S, Wejse C. Review of cytomegalovirus coinfection in HIV-infected individuals in Africa. Rev Med Virol. 2017; 27. doi: 10.1002/rmv.1907 [DOI] [PubMed] [Google Scholar]
  • 19.Kovacs A, Schluchter M, Easley K, Demmler G, Shearer W, La Russa P, et al. Cytomegalovirus infection and HIV-1 disease progression in infants born to HIV-1-infected women. New England Journal of Medicine 1999; 341:77–84. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 20.Slyker JA. Cytomegalovirus and paediatric HIV infection. J Virus Erad 2016; :208–214. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 21.Lee SM, Mitchell R, Knight JA, Mazzulli T, Relton C, Moez EK, et al. Early-childhood cytomegalovirus infection and children’s neurocognitive development. Int J Epidemiol 2021; 50:538–549. [DOI] [PubMed] [Google Scholar]
  • 22.Moraka NO, Moyo S, Smith C, Ibrahim M, Mayondi G, Leidner J, et al. Child HIV exposure and CMV seroprevalence in Botswana: No associations with 24-month growth and neurodevelopment. Open Forum Infect Dis 2020; 7:1–7. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 23.Wamalwa D, Benki-Nugent S, Langat A, Tapia K, Ngugi E, Moraa H, et al. Treatment interruption after 2-year antiretroviral treatment initiated during acute/early HIV in infancy. AIDS 2016; 30:2303–2313. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 24.Slyker JA, Guthrie B, Pankau M, Tapia K, Wamalwa D, Benki-Nugent S, et al. Association between Cytomegalovirus and Epstein-Barr Virus Viremia and Human Immunodeficiency Virus DNA Levels in the Reservoir of Kenyan Infants Receiving Antiretroviral Therapy. Journal of Infectious Diseases 2021; 223:1923–1927. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 25.Boeckh M, Huang ML, Ferrenberg J, Stevens-Ayers T, Stensland L, Nichols WG, et al. Optimization of Quantitative Detection of Cytomegalovirus DNA in Plasma by Real-Time PCR. J Clin Microbiol 2004; 42:1142–1148. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 26.Kaufman AS, Kaufman NL. Kaufman assessment battery for children: second edition (KABC-II). Pearson. 2004. [Google Scholar]
  • 27.Van Wyhe KS, Van De Water T, Boivin MJ, Cotton MF, Thomas KGF. Cross-cultural assessment of HIV-associated cognitive impairment using the Kaufman assessment battery for children: A systematic review. J Int AIDS Soc. 2017; 20. doi: 10.7448/IAS.20.1.21412 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 28.Gioia G, Isquith P, Guy S, Kenworthy L. Behavior Rating Inventory of Executive Function. PAR. 2000. [Google Scholar]
  • 29.Bruininks R, Bruininks B. Bruininks-Oseretsky Test of Motor Proficiency ∣ Second Edition Brief Form. Pearson. 2010. [Google Scholar]
  • 30.Greenburg L. Visual Test of Variables of Attention (TOVA). 2007. [Google Scholar]
  • 31.Nichols SL, Chernoff MC, Malee KM, Sirois PA, Woods SP, Williams PL, et al. Executive functioning in children and adolescents with perinatal HIV infection and perinatal HIV exposure. J Pediatric Infect Dis Soc 2016; 5:S15–S23. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 32.Chahroudi A, Wagner TA, Persaud D. CNS Persistence of HIV-1 in Children: the Untapped Reservoir. Curr HIV/AIDS Rep. 2018; 15:382–387. [DOI] [PubMed] [Google Scholar]
  • 33.Tovanabutra S, Sirijatuphat R, Pham P, Bonar L, Harbolick E, Bose M, et al. Deep Sequencing Reveals Central Nervous System Compartmentalization in Multiple Transmitted/Founder Virus Acute HIV-1 Infection. Cells 2019; 8:902. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 34.Veenhuis RT, Clements JE, Gama L. HIV Eradication Strategies: Implications for the Central Nervous System. Curr HIV/AIDS Rep. 2019; 16:96–104. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 35.Osborne O, Peyravian N, Nair M, Daunert S, Toborek M. The Paradox of HIV Blood–Brain Barrier Penetrance and Antiretroviral Drug Delivery Deficiencies. Trends Neurosci. 2020; 43:695–708. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 36.Anderson AM, Muñoz-Moreno JA, McClernon DR, Ellis RJ, Cookson D, Clifford DB, et al. Prevalence and Correlates of Persistent HIV-1 RNA in Cerebrospinal Fluid During Antiretroviral Therapy. J Infect Dis 2017; 215:105–113. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 37.Zhou E, Qiao Z, Cheng Y, Zhou J, Wang W, Zhao M, et al. Factors associated with depression among HIV/AIDS children in China. Int J Ment Health Syst 2019; 13. doi: 10.1186/s13033-019-0263-1 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 38.Christo PP, Greco DB, Aleixo AW, Livramento JA. Factors influencing cerebrospinal fluid and plasma HIV-1 RNA detection rate in patients with and without opportunistic neurological disease during the HAART era. BMC Infect Dis 2007; 7. doi: 10.1186/1471-2334-7-147 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 39.Gray LR, Brew BJ, Churchill MJ. Strategies to target HIV-1 in the central nervous system. Curr Opin HIV AIDS. 2016; 11:371–375. [DOI] [PubMed] [Google Scholar]
  • 40.Spudich S, González-Scarano F. HIV-1-related central nervous system disease: Current issues in pathogenesis, diagnosis, and treatment. Cold Spring Harb Perspect Med 2012; 2. doi: 10.1101/cshperspect.a007120 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 41.De Oliveira MF, Gianella S, Letendre S, Scheffler K, Pond SLK, Smith DM, et al. Comparative analysis of cell-associated HIV DNA levels in cerebrospinal fluid and peripheral blood by droplet digital PCR. PLoS One 2015; 10. doi: 10.1371/journal.pone.0139510 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 42.Sturdevant CB, Joseph SB, Schnell G, Price RW, Swanstrom R, Spudich S. Compartmentalized Replication of R5 T Cell-Tropic HIV-1 in the Central Nervous System Early in the Course of Infection. PLoS Pathog 2015; 11:1–24. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 43.Ellis RJ, Hsia K, Spector SA, Nelson JA, Heaton RK, Wallace MR, et al. Cerebrospinal fluid human immunodeficiency virus type 1 RNA levels are elevated in neurocognitively impaired individuals with acquired immunodeficiency syndrome. ; 1997. [DOI] [PubMed] [Google Scholar]
  • 44.UNAIDS. UNAIDS Fact Sheet 2022. Geneva, Switzerland: ; 2022. https://www.unaids.org/sites/default/files/media_asset/UNAIDS_FactSheet_en.pdf (accessed 13 May2023). [Google Scholar]
  • 45.Garcia-Knight MA, Nduati E, Hassan AS, Nkumama I, Etyang TJ, Hajj NJ, et al. Cytomegalovirus viraemia is associated with poor growth and T-cell activation with an increased burden in HIV-exposed uninfected infants. AIDS 2017; 31:1809–1818. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 46.Slyker JA, Rowland-Jones SL, Dong T, Reilly M, Richardson B, Emery VC, et al. Acute Cytomegalovirus Infection Is Associated with Increased Frequencies of Activated and Apoptosis-Vulnerable T Cells in HIV-1-Infected Infants. J Virol 2012; 86:11373–11379. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 47.Vita S, Lichtner M, Marchetti G, Mascia C, Merlini E, Cicconi P, et al. Soluble CD163 in CMV-Infected and CMV-Uninfected Subjects on Virologically Suppressive Antiretroviral Therapy in the ICONA Cohort. ; 2016. www.jaids.com [DOI] [PubMed] [Google Scholar]
  • 48.Van Pelt AE, Lipow MI, Scott JC, Lowenthal ED. Interventions for children with neurocognitive impairments in resource-limited settings: A systematic review. Child Youth Serv Rev 2020; 118. doi: 10.1016/j.childyouth.2020.105393 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 49.Boivin MJ, Nakasujja N, Sikorskii A, Opoka RO, Giordani B. A randomized controlled trial to evaluate if computerized cognitive rehabilitation improves neurocognition in ugandan children with HIV. AIDS Res Hum Retroviruses 2016; 32:743–755. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 50.Pascual AC, Moyano N, Robres AQ. The relationship between executive functions and academic performance in primary education: Review and meta-analysis. Front Psychol. 2019; 10. doi: 10.3389/fpsyg.2019.01582 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 51.Hohm E, Jennen-Steinmetz C, Schmidt MH, Laucht M. Language development at ten months: Predictive of language outcome and school achievement ten years later? Eur Child Adolesc Psychiatry 2007; 16:149–156. [DOI] [PubMed] [Google Scholar]
  • 52.Shi P, Feng X. Motor skills and cognitive benefits in children and adolescents: Relationship, mechanism and perspectives. Front Psychol. 2022; 13. doi: 10.3389/fpsyg.2022.1017825 [DOI] [PMC free article] [PubMed] [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

Supplementary Figure 1

Supplementary Figure 1. Inline graphic HIV viral load

Inline graphic CMV

Supplementary Table 1

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