Neurocognitive Dysfunction in HIV+ Youth: Investigating
Transcription
Neurocognitive Dysfunction in HIV+ Youth: Investigating
Neurocognitive Dysfunction in HIV+ Youth: Investigating the Relationship to Immune Activation POSTER 469 Julia C. Rosebush1, Ann Chahroudi1, S. Thera Lee1, Mary Ann O’Riordan2, Chanda Graves1, Anita Grover3, Bridget Wynn1, Ashley Alexander4, Grace A. McComsey2, Allison Ross Eckard1,5 1Emory University School of Medicine, Atlanta, GA, USA; 2Case Western Reserve University and Rainbow Babies & Children’s Hospital, Cleveland, OH, USA; 3Georgia State University, Atlanta, GA, USA; 4Children’s Healthcare of Atlanta, GA, USA; 5Medical University of South Carolina, Charleston, SC, USA Abstract Background Background: HIV+ individuals are at increased risk of developing neurocognitive impairment compared to the general population. It is postulated that ongoing viral replication causes immune activation that results in neural damage. Few studies have investigated this phenomenon in the pediatric and young adult HIV+ population. Ø HIV+ individuals are at an increased risk of developing HIVassociated neurocognitive disorders (HAND) Ø While cART has reduced the incidence of severe HAND, the prevalence of milder forms of neurocognitive dysfunction has increased in the post-ART era Ø HAND is proposed to be due, in part, to immune activation from viral replication which causes neural damage despite ART Ø Monocyte activation (evidenced by the CD14+ and/or CD16+ phenotype) as well as increased plasma levels of sCD14 and sCD16 are associated with impaired neurocognitive test performance in adults Ø Few studies have assessed neurocognitive impairment and immune activation in HIV+ youth Methods: This was a pilot, cross-sectional study evaluating the association of neurocognitive impairment in virologically-suppressed HIV-1infected youth ages 8-26 years with immune activation compared to matched healthy controls. Neurocognitive performance was assessed by age-appropriate Wechsler intelligence scales and markers of lymphocyte and monocyte immune activation by ELISA and flow cytometry in plasma and PBMC samples. Analyses used non-parametric tests, Spearman coefficients, and multivariable linear regression. Results: 68 subjects (47 HIV+: 57% male, 89% black, mean age 19 years) were enrolled. Mean scores were low-average for 4 of 5 testing domains for the HIV+ subjects and average for all 5 in the controls. Working memory was statistically lower in the controls compared to the HIV group (89 vs. 99; P=0.04). Markers of CD4+ and CD8+ T-cell activation and monocyte activation were higher in the HIV+ subjects compared to the controls, but proportions of inflammatory (CD14+CD16+) and patrolling monocytes (CD14dimCD16+) were similar between groups. In the HIV+ group, plasma levels of soluble CD14 and %CD4+CD38+HLADR+ activated T-lymphocytes were negatively correlated with verbal comprehension, and HIV duration was negatively associated with verbal comprehension, working memory and full-scale intelligence quotient. Marijuana use was positively associated with working memory and processing speed. In multivariable regression evaluating associations with working memory, HIV duration was the only statistically significant factor (P = 0.038). Conclusions: HIV+ youth have evidence of neurocognitive impairment and increased immune activation compared to matched healthy controls. While there may be a relationship between neurocognitive impairment and immune activation in HIV+ youth as evidenced by significant bivariate relationships, HIV duration appears to be the most important factor in this study. Julia Rosebush, D.O. [email protected] Results Participant Characteristics Summary of Results Neurocognitive Testing Scores by Study Group u u Objectives Ø Primary objective: to determine the relationship between neurocognitive performance and markers of lymphocyte and monocyte activation among HIV+ youth Limitations Ø Secondary objective: to investigate differences in associations between immune activation and neurocognitive performance in HIV+ youth compared to healthy, matched controls Ø Cross-sectional design, small sample size Ø Performance on neurocognitive testing in HIV+ youth may be confounded by environmental factors but subjects were well-matched to controls with regard to socioeconomic status Methods Ø STUDY DESIGN v Pilot, prospective, cross-sectional evaluation of a cohort of HIV+ youth and healthy, matched controls Ø SELECTION OF SUBJECTS v Inclusion criteria for HIV-infected group: HIV-1 infection, age between 8-26 years, cumulative ARV duration ≥6 months, current ARV regimen consistently for ≥12 weeks, HIV-1 RNA level ≤1,000 copies/mL v Inclusion criteria for controls: absence of HIV, 8-26 years of age v Exclusion criteria for both groups: Acute illness, inflammatory condition, malignancy, medication use which could lead to changes in immune activation markers, pregnancy/breastfeeding, diagnosis of encephalopathy, cerebral palsy, or other existing neurologic deficit v Healthy controls were matched to the HIV+ group by sex, race, age Ø STUDY ASSESSMENTS v Clinical/laboratory evaluations: demographics, medical/mental health history, substance use, educational background, socioeconomic data; chart review, HIV-1 RNA, CD4+ count v Neurocognitive assessment: Wechsler Intelligence Scale for Children-4th Edition (WISC-IV) for subjects 8-16 years old and the Wechsler Adult Intelligence Scale-4th Edition (WAIS-IV) for subjects ≥17 years old v Immune activation assessment: CD4+/CD8+ T-cell and monocyte activation assessed via flow cytometry. Activation of monocyte subsets measured by CD86 and HLA-DR expression; T-cell activation assessed by CD38, HLA-DR. Plasma levels of soluble markers, sCD14 and sCD16 measured by ELISA Ø STATISTICAL ANALYSIS: v Correlations/associations: correlation between WISC/WAIS-IV scores and selected biomarkers described via Spearman correlation coefficient and association of WISC/WAIS-IV scores and categorical variables via appropriate two-sample tests (t-tests for normally distributed variables or Wilcoxon rank sum tests for non-normally distributed variables) v Multiple regression analysis: used to explore relationships between neurocognitive performance scores and biomarker levels while controlling for clinical and demographic characteristics Ø HIV+ youth have evidence of neurocognitive impairment and increased immune activation compared to matched healthy controls Ø Mean neurocognitive scores were low-average for 4 of 5 testing domains for HIV+ subjects and average for all 5 in controls Ø Markers of CD4+ and CD8+ T-cell and monocyte activation were higher in HIV+ subjects compared to controls, but proportions of inflammatory and patrolling monocytes were similar between groups Ø After multivariate analysis, HIV duration was the only statistically significant factor associated with working memory Data are mean (interquartile range) or no. (%) of individuals. *Statistically significant results (p<0.05). uStatistically significant results Scores are standardized based on the US population with mean = 100; and standard deviation (SD) = 15. Associations with Neurocognitive Performance by Study Group Multivariable Regression Analysis for Working Memory in HIV+ Subjects Conclusions v HIV+ youth with virologic suppression perform below average on neurocognitive tests and have higher levels of peripheral immune activation compared to controls v HIV duration may play a significant role in the spectrum of neurocognitive deficits seen in HIV+ youth in the post-ART era v Ramifications of unrecognized HAND could be immense given that youth comprise the fastest growing population of newly infected HIV+ individuals in the United States v Targeting this population offers an opportunity to identify those at risk for poor outcomes and develop strategies to mitigate damage while neurodevelopment is still occurring Acknowledgments Variables chosen on the basis of clinical significance and/or bivariate results. HIV duration was the only variable that remained statistically significant (p=0.038). *Statistically significant associations are boldfaced. Variables tested but not significant include age, %CD8+CD38+HLA-DR+ T-lymphocytes, and CD14+CD16+ and CD14dimCD16+ monocytes. This work was supported by the National Institutes of Health [R01 HD070490 to GAM; K23 HD 069199 to ARE], Emory’s Center for AIDS Research (P30 AI050409), Clinical and Translational Science Collaborative (CTSC) grant support (UL1TR 000439), Emory and Children’s Pediatric Research Center Biomarkers, Flow Cytometry, and Immunology cores.