Variability of bio-clinical parameters in Chinese-origin Rhesus macaques infected with simian immunodeficiency virus: a nonhuman primate AIDS model |
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Authors: | Chen Song Lai Chunhui Wu Xiaoxiang Lu Yaozheng Han Daishu Guo Weizhong Fu Linchun Andrieu Jean-Marie Lu Wei |
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Affiliation: | Sino-French Collaboration Center for AIDS Research and Department of Cell Biology, Peking Union Medical College and Chinese Academy of Medical Science, Tsinghua Universtiy, Beijing, China. |
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Abstract: | BackgroundAlthough Chinese-origin Rhesus macaques (Ch RhMs) infected with simian immunodeficiency virus (SIV) have been used for many years to evaluate the efficacy of AIDS vaccines and therapeutics, the bio-clinical variability of such a nonhuman primate AIDS model was so far not established.Methodology/Principal FindingsBy randomizing 150 (78 male and 72 female) Ch RhMs with diverse MHC class I alleles into 3 groups (50 animals per group) challenged with intrarectal (ir) SIVmac239, intravenous (iv) SIVmac239, or iv SIVmac251, we evaluated variability in bio-clinical endpoints for 118 weeks. All SIV-challenged Ch RhMs became seropositive for SIV during 1–2 weeks. Plasma viral load (VL) peaked at weeks 1–2 and then declined to set-point levels as from week 5. The set-point VL was 30 fold higher in SIVmac239 (ir or iv)-infected than in SIVmac251 (iv)-infected animals. This difference in plasma VL increased overtime (>100 fold as from week 68). The rates of progression to AIDS or death were more rapid in SIVmac239 (ir or iv)-infected than in SIVmac251 (iv)-infected animals. No significant difference in bio-clinical endpoints was observed in animals challenged with ir or iv SIVmac239. The variability (standard deviation) in peak/set-point VL was nearly one-half lower in animals infected with SIVmac239 (ir or iv) than in those infected with SIVmac251 (iv), allowing that the same treatment-related difference can be detected with one-half fewer animals using SIVmac239 than using SIVmac251.Conclusion/SignificanceThese results provide solid estimates of variability in bio-clinical endpoints needed when designing studies using the Ch RhM SIV model and contribute to the improving quality and standardization of preclinical studies. |
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