Chronic immune activation and progression to AIDS are observed after SIV infection in macaques but not in natural host primate species. To better understand this dichotomy, we compared acute pathogenic SIV infection in pigtailed macaques (PTs) to non-pathogenic infection in African green monkeys (AGMs). SIVagm-infected PTs, but not SIVagm-infected AGMs, rapidly developed systemic immune activation, marked and selective depletion of IL-17-secreting (Th17) cells, and loss of the balance between Th17 and T regulatory (Treg) cells in blood, lymphoid organs, and mucosal tissue. The loss of Th17 cells was found to be predictive of systemic and sustained T cell activation. Collectively, these data indicate that loss of the Th17 to Treg balance is related to SIV disease progression.

Simian immunodeficiency virus (SIV) infection leads to AIDS in experimentally infected macaques, whereas natural reservoir hosts exhibit limited disease and pathology. It is, however, unclear how natural hosts can sustain high viral loads, comparable to those observed in the pathogenic model, without developing severe disease. We performed transcriptional profiling on lymph node, blood, and colon samples from African green monkeys (natural host model) and Asian pigtailed macaques (pathogenic model) to directly compare gene expression patterns during acute pathogenic versus non-pathogenic SIV infection. The majority of gene expression changes that were unique to either model were detected in the lymph nodes at the time of peak viral load. Results suggest a shift toward cellular stress pathways and Th1 profiles during pathogenic infection, with strong and sustained type I and II interferon responses. In contrast, a strong type I interferon response was initially induced during non-pathogenic infection but resolved after peak viral load. The natural host also exhibited controlled Th1 profiles and better preservation of overall cell homeostasis. This study identified gene expression patterns that are specific to disease susceptibility, tissue compartmentalization, and infection duration. These patterns provide a unique view of how host responses differ depending upon lentiviral infection outcome.

Nonpathogenic simian immunodeficiency virus SIVagm infection of African green monkeys (AGMs) is characterized by the absence of a robust antibody response against Gag p27. To determine if this is accompanied by a selective loss of T-cell responses to Gag p27, we studied CD4؉ and CD8 ؉ T-cell responses against Gag p27 and other SIVagm antigens in the peripheral blood and lymph nodes of acutely and chronically infected AGMs. Our data show that AGMs can mount a T-cell response against Gag p27, indicating that the absence of anti-p27 antibodies is not due to the absence of Gag p27-specific T cells.

Methods to measure the sequence diversity of PCR-amplified DNA lack standards for use as assay calibrators and controls. Here, we present a general and economical method for developing customizable DNA standards of known sequence diversity. Standards ranging from 1 to 25,000 sequences were generated by directional ligation of oligonucleotide "words" of standard length and GC content, and then amplified by PCR. The sequence accuracy and diversity of the library were validated using AmpliCot analysis (DNA hybridization kinetics) and Illumina sequencing. The library has the following features: (1) pools containing tens of thousands of sequences can be generated from the ligation of relatively few commercially-synthesized short oligonucleotides; (2) each sequence differs from all others in the library at a minimum of three nucleotide positions, permitting discrimination between different sequences by either sequencing or hybridization; (3) all sequences have identical length, GC content, and melting temperature; (4) the identity of each standard can be verified by restriction digestion; and (5) once made, the ends of the library may be cleaved and replaced with sequences to match any PCR primer pair. These standards should greatly improve the accuracy and reproducibility of sequence diversity measurements.