Recent 5-year Findings and Technological Advances in the Proteomic Study of HIV-associated Disorders

iTRAQ-based proteomic study on monocyte cell model discovered an association of LAMP2 downregulation with HIV-1 latency

BACKGROUND

Patients with immunodeficiency virus-1 (HIV-1) infection are challenging to be cured completely due to the existence of HIV-1 latency reservoirs. However, the knowledge of the mechanisms and biomarkers associated with HIV-1 latency is limited. Therefore, identifying proteins related to HIV-1 latency could provide new insights into the underlying mechanisms of HIV-1 latency, and ultimately contribute to the eradication of HIV reservoirs.

METHODS

An Isobaric Tags for Relative and Absolute Quantification (iTRAQ)-labeled subcellular proteomic study was performed on an HIV-1 latently infected cell model (U1, a HIV-1-integrated U937 cell line) and its control (U937). Differentially expressed proteins (DEPs) were analyzed using STRING-DB. Selected DEPs were further evaluated by western blotting and multiple reaction monitoring technology in both cell model and patient-derived cluster of differentiation 4 (CD4)+ T cells. Finally, we investigated the relationship between a specific DEP lysosome-associated membrane glycoprotein 2 (LAMP2) and HIV-1 reactivation by panobinostat or lysosome regulation by a lysosomotropic agent hydroxychloroquine in U1 and U937 cells.

RESULTS

In total, 110 DEPs were identified in U1 cells comparing to U937 control cells. Bioinformatics analysis suggested associations of the altered proteins with the immune response and endosomal/lysosomal pathway. LAMP2, leukocyte surface antigen CD47, CD55, and ITGA6 were downregulated in HIV-1 latent cells. Downregulated LAMP2 was further confirmed in resting CD4+ T cells from patients with latent HIV-1 infection. Furthermore, both HIV-1 reactivation by panobinostat and stimulation with hydroxychloroquine upregulated LAMP2 expression.

CONCLUSIONS

Our results indicated the involvement of the endosomal/lysosomal pathway in HIV-1 latency in macrophage cell model. The down-modulation of LAMP2 was associated with HIV latency, and the restoration of LAMP2 expression accompanied the transition of viral latency to active infection. This study provides new insights into the mechanism of HIV-1 latency and potential strategies for eradicating HIV-1 reservoirs by targeting LAMP2 expression.

IFN-Inducible SerpinA5 Triggers Antiviral Immunity by Regulating STAT1 Phosphorylation and Nuclear Translocation

Deeply understanding virus-host interactions is a prerequisite for developing effective strategies to control frequently emerging infectious diseases, which have become a serious challenge for global public health. The type I interferon (IFN)-mediated JAK/STAT pathway is well known for playing an essential role in host antiviral immunity, but the exact regulatory mechanisms of various IFN-stimulated genes (ISGs) are not yet fully understood. We herein reported that SerpinA5, as a novel ISG, played a previously unrecognized role in antiviral activity. Mechanistically, SerpinA5 can upregulate the phosphorylation of STAT1 and promote its nuclear translocation, thus effectively activating the transcription of IFN-related signaling pathways to impair viral infections. Our data provide insights into SerpinA5-mediated innate immune signaling during virus-host interactions.

Proteomic and metabonomic analysis uncovering Enterovirus A71 reprogramming host cell metabolic pathway

Enterovirus A71 (EV71) infection can cause hand, foot, and mouth disease (HFMD) and severe neurological complications in children. However, the biological processes regulated by EV71 remain poorly understood. Herein, proteomics and metabonomics studies were conducted to uncover the mechanism of EV71 infection in rhabdomyosarcoma (RD) cells and identify potential drug targets. Differential expressed proteins from enriched membrane were analyzed by isobaric tags for relative and absolute quantitation (iTRAQ)-based proteomics technology. Twenty-six differential proteins with 1.5-fold (p < 0.05) change were detected, including 14 upregulated proteins and 12 downregulated proteins. The upregulated proteins are mainly involved in metabolic process, especially in the glycolysis pathway. Alpha-enolase (ENO1) protein was found to increase with temporal dependence following EV71 infection. The targeted metabolomics analysis revealed that glucose absorption and glycolysis metabolites were increased after EV71 infection. The glycolysis pathway was inhibited by knocking down ENO1 or the use of a glycolysis inhibitor (dichloroacetic acid [DCA]); and we found that EV71 infection was inhibited by depleting ENO1 or using DCA. Our study indicates that EV71 may reprogram glucose metabolism by activating glycolysis, and EV71 infection can be inhibited by interrupting the glycolysis pathway. ENO1 may be a potential target against EV71, and DCA could act as an inhibitor of EV71.

Quantitative proteomics analysis reveals unique but overlapping protein signatures in HIV infections

BACKGROUND

Human immunodeficiency virus-1 (HIV-1) exploits human host factors to complete its life cycle. Hence, discovery of HIV-regulated host proteins markers would better our understanding of the virus life-cycle and its contribution to pathogenesis and discovery of objective diagnostic and prognostic molecules.

METHODS

We conducted holistic total proteomics analysis of three closely related study populations including patients with HIV type-1 (HIV-1) and HIV type-2 (HIV-2) as well as HIV-1 elite controllers (HIV-1-EC). Peripheral blood plasma (PBP) samples were subjected to label-free quantitative liquid-chromatography tandem mass-spectrometry (LC-MS/MS).

RESULTS

Over 314 unique PBP protein species were identified of which 100 (approx. 32%) were significantly differentially expressed (≥2 to ∞ - fold-change; p < 0.05) between the three sample cohorts. Of the 100 proteins, 91 were significantly changed between pairs of HIV-1 versus HIV-1-EC, while 83 of the 100 proteins differed significantly between HIV-2 and HIV-1-EC. Interestingly, 76 proteins (87.5%) overlap between the two data sets indicating that majority of these proteins share similar expression changes between HIV-1 and HIV-2 sample groups. Two of the identified proteins, XRCC5 and PSME1, were implicated in the early phase of the pathway network for HIV life cycle, while others were involved in infectious disease and disease of signal transduction. Among them were MAP2K1, RPL23A, RPS3, CALR, PRDX1, SOD2, LMNB1, PHB, and FGB. Despite the high degree of similarity in protein profiles of HIV-1 and HIV-2, six proteins differed significantly including ETFB, PHB2, S100A9, LMO2, PPP3R1 and Vif, a fragment of virion infectivity factor of HIV-1. Additionally, 15 proteins were uniquely expressed, and one of them (LSP1) is present only in HIV-1-EC but absent in HIV1 and HIV-2 and vice versa for the rest 14 proteins.

CONCLUSIONS

Altogether, we have identified HIV-specific/related protein expression changes that might potentially be capable of early diagnosis and prognosis of HIV diseases and other related infectious diseases.

Proteomics and metabolomics of HIV-associated neurocognitive disorders: A systematic review

HIV-associated neurocognitive disorders (HAND) are common features of the effect of human immunodeficiency virus (HIV)-1 within the central nervous system (CNS). The underlying neuropathophysiology of HAND is incompletely known. Furthermore, there are no markers to effectively predict or stratify the risk of HAND. Recent advancements in the fields of proteomics and metabolomics have shown promise in addressing these concerns, however, it is not clear if these approaches may provide new insight into pathways and markers related to HAND. We therefore conducted a systematic review of studies using proteomic and/or metabolomic approaches in the aim of identifying pathways or markers associated with neurocognitive impairment in people living with HIV (PLWH). Thirteen studies were eligible, including 11 proteomic and 2 metabolomic investigations of HIV-positive clinical samples (cerebrospinal fluid (CSF), brain tissue, and serum). Across varying profiling techniques and sample types, the majority of studies found an association of markers with neurocognitive function in PLWH. These included metabolic marker myo-inositol and proteomic markers superoxide dismutase, gelsolin, afamin, sphingomyelin, and ceramide. Certain markers were found to be dysregulated across various sample types. Afamin and gelsolin overlapped in studies of blood and CSF and sphingomyelin and ceramide overlapped in studies of CSF and brain tissue. The association of these markers with neurocognitive functioning may indicate the activity of certain pathways, potentially those related to the underlying neuropathophysiology of HAND.

Plasma Membrane Proteomic Profile Discovers Macrophage-capping Protein Related to Latent HIV-1

BACKGROUND

Due to the persistence of latent HIV-infected cellular reservoirs, HIV virus can not be eradicated completely.

OBJECTIVE

To identify proteins related to HIV latency, we performed a subcellular proteomic study in HIV latent cell lines.

METHODS

An established HIV-1 latent cell model (J-Lat Tat-GFP Clone A7 cells, A7 cells) and its parental cell line (Jurkat cells) were used. The plasma membrane (PM) fraction from cultured cells was enriched through aqueous two-phase partition. PM proteins were extracted and then separated using two-dimensional electrophoresis (2DE). Differentially expressed proteins were identified by mass spectrometry, and verified by western blotting.

RESULTS

Thirteen non-redundant proteins were identified to be differentially expressed in the A7 PM fraction compared to those in the Jurkat PM. Eight had a PM location through Gene Ontology (GO) analysis. A differential protein network of CAPG-ACTR3-CD3D was detected to have interactions with HIV Vpr, Tat, gp160, etc. through STRING software analysis. One of the differential proteins (Macrophage-capping protein (CAPG)) was verified by western blotting to be down- regulated in two cell lines and HIV resting CD4+ T cells negatively selected from patients.

CONCLUSION

We identified 13 proteins in A7 compared to Jurkat cells. CAPG may be a potential biomarker related to HIV latency.