Association between lymphocyte and monocyte subsets and cognition in children with HIV.
Association between lymphocyte and monocyte subsets and cognition in children with HIV.
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DOI:
10.1186/1742-6405-11-7
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发表时间:
2014-01-22
影响因子:
2.2
通讯作者:
PREDICT Study Group
中科院分区:
文献类型:
--
作者:
Ananworanich J;Bunupuradah T;Apornpong T;Kosalaraksa P;Hansudewechakul R;Kanjanavanit S;Ngampiyaskul C;Wongsawat J;Luesomboon W;Ngo-Giang-Huong N;Jaimulwong T;Kerr SJ;Brouwers P;Shearer WT;Puthanakit T;PREDICT Study Group
This study assesses the relationships between lymphocyte and monocyte subsets and intelligence quotient (IQ) scores in antiretroviral therapy (ART)-naive, HIV-infected Thai children without advanced HIV disease. Sixty-seven ART-naive Thai children with CD4 between 15-24% underwent cognitive testing by Weschler intelligence scale and had 13 cell subsets performed by flow cytometry including naive, memory and activated subsets of CD4+ and CD8+ T cells, activated and perivascular monocytes and B cells. Regression modelling with log10 cell count and cell percentage transformation was performed. Median age (IQR) was 9 (7–10) years, 33% were male, CDC stages N:A:B were 1:67:31%, median CD4% and count (IQR) were 21 (18–24)%, 597 (424–801) cells/mm3 and HIV RNA (IQR) was 4.6 (4.1-4.9) log10 copies/ml. Most (82%) lived at home, 45% had a biological parent as their primary caregiver, and 26 (49%) had low family income. The mean (SD) scores were 75 (13) for full scale IQ (FIQ), 73 (12) for verbal IQ (VIQ) and 80 (14) for performance IQ (PIQ). Adjusted multivariate regression analysis showed significant negative associations between B cell counts and FIQ, VIQ and PIQ (p < 0.01 for all); similar associations were found for B cell percentages (p < 0.05 for all). High B cell counts and percentages were strongly associated with poorer FIQ, VIQ and PIQ scores. Prospective, long-term assessment of cell subsets and determination of relevant B cell subpopulations could help further elucidate associations between lymphocyte subsets and neurocognitive development.
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影响因子:
3.2
作者:
Fischer-Smith T;Bell C;Croul S;Lewis M;Rappaport J
通讯作者:
Rappaport J
影响因子:
14.2
作者:
Ananworanich, Jintanat;Apornpong, Tanakorn;Shearer, William T.
通讯作者:
Shearer, William T.
影响因子:
3.7
作者:
Ashwood P;Corbett BA;Kantor A;Schulman H;Van de Water J;Amaral DG
通讯作者:
Amaral DG
DOI:
10.1097/inf.0b013e31827fb19d
发表时间:
2013-05
期刊:
The Pediatric infectious disease journal
影响因子:
--
作者:
Puthanakit T;Ananworanich J;Vonthanak S;Kosalaraksa P;Hansudewechakul R;van der Lugt J;Kerr SJ;Kanjanavanit S;Ngampiyaskul C;Wongsawat J;Luesomboon W;Vibol U;Pruksakaew K;Suwarnlerk T;Apornpong T;Ratanadilok K;Paul R;Mofenson LM;Fox L;Valcour V;Brouwers P;Ruxrungtham K;PREDICT Study Group
通讯作者:
PREDICT Study Group
DOI:
10.1097/qad.0b013e328352cee7
发表时间:
2012-05-15
期刊:
AIDS (London, England)
影响因子:
--
作者:
Kapetanovic S;Aaron L;Montepiedra G;Burchett SK;Kovacs A
通讯作者:
Kovacs A