Background: The latent reservoir of Human Immunodificiency Virus-1 (HIV-1) has been a major barrier to the complete eradication of HIV-1 and the development of HIV therapy. Longterm non-progressors (LTNPs) are a rare group of patients with HIV-1 who can spontaneously control HIV-1 replication without antiretroviral therapy. Transcriptome analysis is necessary to predict the pathways involved in the natural control of HIV-1, elucidate the mechanisms involved in LTNPs, and find biomarkers for HIV-1 reservoir therapy. Materials and Methods: In this study, we obtained peripheral blood mononuclear cells from two LTNP subjects at multiple time points and performed RNA-sequencing analyses. Results: We found that LTNPs and normal subjects had different transcriptome profiles. Functional annotation analysis identified that differentially expressed genes in LTNPs were enriched in several biological pathways such as cell cycle-related pathways and the transforming growth factor-beta signaling pathway. However, genes that were downregulated in LTNPs were associated with immune responses such as the interferon response and IL2-STAT5 signaling. Protein-protein interaction network analysis showed that CD8A, KLRD1, ASGR1, and MLKL, whose gene expression was upregulated in LTNPs, directly interacted with HIV-1 proteins. The network analysis also found that viral proteins potentially regulated host genes that were associated with immune system processes, metabolic processes, and gene expression regulation. Conclusion Our longitudinal transcriptome analysis of the LTNPs identified multiple previously undescribed pathways and genes that may be useful in the discovery of novel therapeutic targets and biomarkers.

Background: The latent reservoir of Human Immunodificiency Virus-1 (HIV-1) has been a major barrier to the complete eradication of HIV-1 and the development of HIV therapy. Longterm non-progressors (LTNPs) are a rare group of patients with HIV-1 who can spontaneously control HIV-1 replication without antiretroviral therapy. Transcriptome analysis is necessary to predict the pathways involved in the natural control of HIV-1, elucidate the mechanisms involved in LTNPs, and find biomarkers for HIV-1 reservoir therapy. Materials and Methods: In this study, we obtained peripheral blood mononuclear cells from two LTNP subjects at multiple time points and performed RNA-sequencing analyses. Results: We found that LTNPs and normal subjects had different transcriptome profiles. Functional annotation analysis identified that differentially expressed genes in LTNPs were enriched in several biological pathways such as cell cycle-related pathways and the transforming growth factor-beta signaling pathway. However, genes that were downregulated in LTNPs were associated with immune responses such as the interferon response and IL2-STAT5 signaling. Protein-protein interaction network analysis showed that CD8A, KLRD1, ASGR1, and MLKL, whose gene expression was upregulated in LTNPs, directly interacted with HIV-1 proteins. The network analysis also found that viral proteins potentially regulated host genes that were associated with immune system processes, metabolic processes, and gene expression regulation. Conclusion Our longitudinal transcriptome analysis of the LTNPs identified multiple previously undescribed pathways and genes that may be useful in the discovery of novel therapeutic targets and biomarkers.

Purpose: Junctional adhesion molecule (JAM)-A is an immunoglobulin-like molecule that colocalizes with tight junctions (TJs) in the endothelium and epithelium. It is also found in blood leukocytes and platelets. The biological significance of JAM-A in asthma, as well as its clinical potential as a therapeutic target, are not well understood. The aim of this study was to elucidate the role of JAM-A in a mouse model of asthma, and to determine blood levels of JAM-A in asthmatic patients. Materials and Methods: Mice sensitized and challenged with ovalbumin (OVA) or saline were used to investigate the role of JAM-A in the pathogenesis of bronchial asthma. In addition, JAM-A levels were measured in the plasma of asthmatic patients and healthy controls. The relationships between JAM-A and clinical variables in patients with asthma were also examined. Results: Plasma JAM-A levels were higher in asthma patients (n=19) than in healthy controls (n=12). In asthma patients, the JAM-A levels correlated with forced expiratory volume in 1 second (FEV1%), FEV1/forced vital capacity (FVC), and the blood lymphocyte proportion. JAM-A, phospho-JNK, and phospho-ERK protein expressions in lung tissue were significantly higher in OVA/OVA mice than in control mice. In human bronchial epithelial cells treated with house dust mite extracts for 4 h, 8 h, and 24 h, the JAMA, phospho-JNK, and phospho-ERK expressions were increased, as shown by Western blotting, while the transepithelial electrical resistance was reduced. Conclusion These results suggest that JAM-A is involved in the pathogenesis of asthma, and may be a marker for asthma.