TY - JOUR
T1 - Antibody responses in HIV-infected patients with advanced immunosuppression and asymptomatic cryptococcal antigenemia
AU - Hlupeni, Admire
AU - Nakouzi, Antonio
AU - Wang, Tao
AU - Boyd, Kathryn F.
AU - Makadzange, Tariro A.
AU - Ndhlovu, Chiratidzo E.
AU - Pirofski, Liise Anne
N1 - Funding Information:
Financial support. The parent CrytoART study was funded by National Institutes of Health (NIH) 1U1GH000737. LP was supported by NIH grant AI097096. TAM was supported by NIH Career Development Award K08AI104348.
Publisher Copyright:
© 2018 The Author(s). Published by Oxford University Press on behalf of Infectious Diseases Society of America.
PY - 2019/1/1
Y1 - 2019/1/1
N2 - Background There are no host biomarkers of risk for HIV-associated cryptococcal meningitis (CM) except CD4+ T-cell deficiency. At present, serum cryptococcal antigen (CrAg) screening of those with CD4 <100 cells/μL is used to identify persons at risk for HIV-associated CM. We determined if plasma antibody profiles could discriminate CrAg+ from CrAg-patients. Methods We performed serological analyses of 237 HIV-infected asymptomatic Zimbabwean patients with CD4 <100 cells/μL; 125 CrAg- A nd CrAg+ but cerebrospinal fluid CrAg-by CrAg lateral flow assay. We measured plasma immunoglobulin M (IgM), immunoglobulin G (IgG) 1, and IgG2 concentrations by Luminex, and titers of Cryptococcus neoformans (Cn) glucuronoxylomannan (GXM) polysaccharide and naturally occurring Laminarin (natural Lam, a β-(1-3)-glucan linked polysaccharide)-binding IgM and IgG by enzyme-linked immunosorbent assay. Results GXM-IgG,-IgM, and-IgG2 levels were significantly higher in CrAg+ patients, whereas natural Lam-IgM and Lam-IgG were higher in CrAg-patients before and after adjustment for age, sex, and CD4 T-cell count, despite overlap of values. To address this variability and better discriminate the groups, we used Akaike Information Criteria to select variables that independently predicted CrAg+ status and included them in a receiver operating characteristic curve to predict CrAg status. By inclusion of CD4, GXM-IgG, GXM-IgM, and Lam-IgG,-IgG2, and-IgM, this model had an 80.4% probability (95% confidence interval, 0.75-0.86) of predicting CrAg+ status. Conclusions Statistical models that include multiple serological variables may improve the identification of patients at risk for CM and inform new directions in research on the complex role that antibodies may play in resistance and susceptibility to CM.
AB - Background There are no host biomarkers of risk for HIV-associated cryptococcal meningitis (CM) except CD4+ T-cell deficiency. At present, serum cryptococcal antigen (CrAg) screening of those with CD4 <100 cells/μL is used to identify persons at risk for HIV-associated CM. We determined if plasma antibody profiles could discriminate CrAg+ from CrAg-patients. Methods We performed serological analyses of 237 HIV-infected asymptomatic Zimbabwean patients with CD4 <100 cells/μL; 125 CrAg- A nd CrAg+ but cerebrospinal fluid CrAg-by CrAg lateral flow assay. We measured plasma immunoglobulin M (IgM), immunoglobulin G (IgG) 1, and IgG2 concentrations by Luminex, and titers of Cryptococcus neoformans (Cn) glucuronoxylomannan (GXM) polysaccharide and naturally occurring Laminarin (natural Lam, a β-(1-3)-glucan linked polysaccharide)-binding IgM and IgG by enzyme-linked immunosorbent assay. Results GXM-IgG,-IgM, and-IgG2 levels were significantly higher in CrAg+ patients, whereas natural Lam-IgM and Lam-IgG were higher in CrAg-patients before and after adjustment for age, sex, and CD4 T-cell count, despite overlap of values. To address this variability and better discriminate the groups, we used Akaike Information Criteria to select variables that independently predicted CrAg+ status and included them in a receiver operating characteristic curve to predict CrAg status. By inclusion of CD4, GXM-IgG, GXM-IgM, and Lam-IgG,-IgG2, and-IgM, this model had an 80.4% probability (95% confidence interval, 0.75-0.86) of predicting CrAg+ status. Conclusions Statistical models that include multiple serological variables may improve the identification of patients at risk for CM and inform new directions in research on the complex role that antibodies may play in resistance and susceptibility to CM.
KW - HIV
KW - IgG
KW - IgM
KW - Laminarin
KW - Sub-Saharan Africa
KW - Zimbabwe
KW - antibody
KW - cryptococccal antigenenmia
KW - glucuronoxylomannan
KW - immunoglobulin
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U2 - 10.1093/ofid/ofy333
DO - 10.1093/ofid/ofy333
M3 - Article
AN - SCOPUS:85062396152
SN - 2328-8957
VL - 6
JO - Open Forum Infectious Diseases
JF - Open Forum Infectious Diseases
IS - 1
ER -