Profiling HIV1-host protein–protein interaction networks in patient-derived exosome proteins: impact on pathophysiology and innate immune pathways – Virology Journal

Profiling HIV1-host protein–protein interaction networks in patient-derived exosome proteins: impact on pathophysiology and innate immune pathways – Virology Journal

 

Advancing Global Health Goals: Proteomic Analysis of HIV-1 Patient-Derived Exosomes

This report details the characterization and proteomic analysis of exosomes derived from HIV-1-infected patients. The research aligns directly with the United Nations’ Sustainable Development Goal 3 (SDG 3), which aims to ensure healthy lives and promote well-being for all at all ages, with a specific target (3.3) to end the AIDS epidemic by 2030. By elucidating the molecular composition and protein interactions within these vesicles, this study contributes to the foundational knowledge required for developing innovative diagnostics and therapeutics, thereby supporting SDG 9 (Industry, Innovation, and Infrastructure) through the application of advanced scientific methodologies.

1.0 Physical and Biochemical Characterization of Exosomes

1.1 Morphological and Size Analysis

To confirm the integrity and size of the isolated extracellular vesicles, multiple analytical techniques were employed. This foundational step is crucial for ensuring the purity of the sample for subsequent proteomic analysis, a key requirement for developing reliable biomedical tools in line with SDG 3.

  • Scanning Electron Microscopy (SEM): Revealed a size range of 49.25 to 86.14 nm, consistent with the typical morphology of exosomes.
  • Dynamic Light Scattering (DLS): Corroborated the SEM findings, confirming the exosomal size range.
  • Transmission Electron Microscopy (TEM): Provided a size range of 48.26 to 143 nm, further validating the identity of the vesicles as exosomes.

1.2 Biochemical Validation of Exosomal Origin and Purity

Western blot analysis was conducted to confirm the cellular origin and purity of the isolated exosomes, a critical quality control measure for research aimed at combating global health threats like HIV/AIDS.

  1. Presence of Exosomal Marker: The detection of the tetraspanin protein CD63 confirmed that the isolated vesicles were indeed exosomes.
  2. Absence of Contaminants: The absence of Calnexin, an endoplasmic reticulum protein, in the exosome preparations demonstrated the high purity of the sample.
  3. Confirmation of Viral Origin: The pathogenic protein Nef was successfully detected in exosomes from HIV-1 patients (lanes 3–12) but was absent in those from healthy individuals (lane 2), confirming their origin from HIV-1 infected cells.

These results collectively suggest that pure exosomes originating from HIV-1 infected cells circulate in the blood of patients, carrying viral components. This finding is pivotal for exploring their role in pathogenesis and as potential biomarkers, contributing to the targets of SDG 3.

2.0 Proteomic Analysis and Bioinformatic Enrichment

Leveraging advanced proteomic techniques, as fostered by SDG 9, provides a deeper understanding of the molecular landscape of HIV-1 infection, which is essential for achieving the health targets of SDG 3.

2.1 LC-MS/MS Proteomic Profiling

Liquid chromatography-tandem mass spectrometry (LC-MS/MS) analysis provided a comprehensive protein profile.

  • A total of 130 proteins were identified.
  • 44,352 non-unique peptides were detected.
  • Analysis revealed the presence of both host and HIV-1 peptides in the exosome samples.

2.2 Identification of Key Viral and Host Proteins

Bioinformatic enrichment analysis identified specific proteins critical to the HIV-1 life cycle and host response.

  • HIV-1 Proteins Identified:
    1. Gag-Pol polyprotein (P04585)
    2. Gag protein (Q78639)
    3. Nef Protein (P04601)
    4. Envelope glycoprotein gp160 (P03377)
  • Unique Host Proteins in HIV-1 Samples:
    1. Tight junction protein ZO-1 (Q07157)
    2. C-myc promoter-binding protein (Q7Z401)
  • Other Notable Host Proteins: The analysis identified numerous host proteins involved in various cellular processes, including homeobox protein Hox-A13, alpha-enolase, cadherin-5, and TNF receptor-associated factor-6, indicating a systemic cellular response to the infection.

3.0 Protein-Protein Interaction (PPI) Network Analysis

Understanding the complex interplay between viral and host proteins is fundamental to devising strategies to disrupt the viral life cycle. This network analysis contributes to a systems-level understanding of HIV-1 pathogenesis, a sophisticated approach that supports the innovation goals of SDG 9 and the health outcomes of SDG 3.

3.1 HIV-1 Protein Interactomes

  • Gag-pol polyprotein: Interacts with 162 human proteins. Key interactors include subunits of the EIF3 complex (viral translation), EP300 (transcription), and STAU1 (RNA stability).
  • Gag protein: Interacts with 196 human proteins. Key interactors include DDX5/DDX17 (RNA metabolism), FLNA (Gag localization), and ACTB (viral assembly).
  • Nef protein: Interacts with 80 host proteins. Key interactors include TRAF6 (immune signaling), SRC (signal transduction), and CXCR4 (HIV co-receptor).
  • Env protein: Interacts with 158 human proteins. Key interactors include CANX (glycoprotein folding), VCP (protein degradation), and TFRC (iron uptake).

3.2 Intersectional PPI Analysis

Analysis of common interaction partners revealed critical hubs in the viral-host interactome, highlighting proteins targeted by multiple viral components.

  • Common to Env and Nef: CXCR4, CD4, SQSTM1, BCAP31, LCK, AP1M1, TFRC, and CALM1. These are central to viral entry, immune evasion, and signal transduction.
  • Common to Env and Gag: CD59, TLR1, DDX6, CD63, THY1, FLOT1, TLR2, and MR1. These are involved in immune evasion, viral budding, and RNA regulation.
  • Common to Gag and Gag-Pol: THRAP3, EED, UBE2I, DAXX, CUL2, and EEF1A1. These proteins are implicated in mRNA processing, chromatin modification, and protein degradation.
  • Common to Gag, Gag-Pol, and Nef: STAU1, an RNA-binding protein, emerges as a central hub regulating post-transcriptional processes, underscoring its critical role in the HIV life cycle.

4.0 Functional and Pathway Enrichment Analysis

Identifying the biological pathways affected by exosomal proteins provides a roadmap for understanding disease progression and identifying therapeutic targets. This contributes directly to SDG 3 by pinpointing mechanisms that can be targeted to improve health outcomes for people living with HIV.

4.1 Nef-Mediated Pathway Analysis

Enrichment analysis of the Nef interactome revealed significant overrepresentation in key biological pathways.

  • Biological Processes: Top enriched terms included macrophage migration inhibitory factor signaling, CXCR4 signaling, and interleukin-17-mediated signaling.
  • Molecular Functions: Significant terms included phosphoprotein binding, protein kinase binding, and ubiquitin protein ligase binding.
  • KEGG Pathways: Top pathways included Autophagy, T cell receptor signaling, HIV-1 infection, and NF-kappa B signaling.

4.2 Pathway Analysis of Exosome-Derived Host Proteins

Analysis of host proteins found in exosomes from HIV-1 positive samples revealed their involvement in critical immune pathways.

  • Pathways Implicated: Toll-like receptor (TLR) signaling, inflammasome activation, inhibition of apoptosis, innate immune response, and autophagy.
  • Key Multi-Pathway Proteins: CDH5, ENO1, and TRAF6 were identified as participating in multiple immune-related pathways, suggesting they are central nodes in the host response to HIV-1.
  • Pathological Significance: The involvement of these proteins in pathways that inhibit apoptosis and regulate autophagy suggests that exosomes may play a role in establishing viral latency and disease progression.

5.0 Conclusion: Implications for Sustainable Development Goals

The detailed characterization and proteomic analysis of exosomes from HIV-1 infected individuals provide significant insights into the molecular mechanisms of viral pathogenesis. The identification of specific viral and host proteins within these vesicles, along with their complex interaction networks and pathway involvements, opens new avenues for research and development.

This work directly supports SDG 3 (Good Health and Well-being) by:

  • Identifying novel biomarkers for improved diagnosis and monitoring of HIV-1.
  • Uncovering potential therapeutic targets within viral-host protein interaction networks.
  • Elucidating pathways (e.g., apoptosis, autophagy) that could be modulated to combat viral latency and persistence.

Furthermore, the application of sophisticated technologies like mass spectrometry and advanced bioinformatics aligns with SDG 9 (Industry, Innovation, and Infrastructure), showcasing the importance of scientific innovation in addressing global health challenges. The collaborative nature of such research also echoes the spirit of SDG 17 (Partnerships for the Goals), as tackling the AIDS epidemic requires a global, multi-faceted scientific effort. Ultimately, this research represents a crucial step forward in the global commitment to ending the AIDS epidemic by 2030.

Analysis of Sustainable Development Goals (SDGs) in the Article

1. Which SDGs are addressed or connected to the issues highlighted in the article?

The primary Sustainable Development Goal (SDG) addressed in the article is:

  • SDG 3: Good Health and Well-being

Explanation: The article is a detailed scientific study focused on understanding the molecular mechanisms of the Human Immunodeficiency Virus (HIV-1), the virus that causes AIDS. By characterizing exosomes from HIV-1-infected patients and analyzing the interactions between viral and host proteins, the research directly contributes to the body of knowledge needed to combat a major global communicable disease. This aligns perfectly with the overarching goal of SDG 3, which is to “ensure healthy lives and promote well-being for all at all ages.” The study’s focus on HIV pathogenesis is a fundamental step toward developing better diagnostics, therapies, and ultimately, a cure, which are all critical for improving global health outcomes.

2. What specific targets under those SDGs can be identified based on the article’s content?

Based on the article’s focus on HIV-1, the following specific target under SDG 3 is directly relevant:

  • Target 3.3: By 2030, end the epidemics of AIDS, tuberculosis, malaria and neglected tropical diseases and combat hepatitis, water-borne diseases and other communicable diseases.

Explanation: The research presented in the article is a clear example of the scientific efforts required to achieve Target 3.3. The study delves into the complex ways HIV-1 manipulates host cells to ensure its survival and replication. For instance, the article states, “These findings reveal that HIV-1 proteins, including Gag-Pol, Gag, Nef, and Env, in conjunction with various host proteins, may play roles in HIV-1 pathogenesis and are critical in the viral life cycle and immune evasion.” Understanding these intricate processes at the molecular level is a prerequisite for developing novel interventions aimed at disrupting the viral life cycle, which is essential for ending the AIDS epidemic.

3. Are there any indicators mentioned or implied in the article that can be used to measure progress towards the identified targets?

While the article does not mention official SDG indicators, it provides several implied scientific indicators that measure progress toward understanding and combating HIV, thereby contributing to Target 3.3.

  1. Identification of Potential Biomarkers: The research identifies specific viral proteins within exosomes that could serve as biomarkers for diagnosis or disease progression.
    • Evidence from the article: The study found “four HIV-1 proteins—Gag-Pol polyprotein (P04585), Gag protein (Q78639), Nef Protein (P04601), and Envelope glycoprotein gp160 (P03377)—were found in the exosome derived from HIV-1 positive serum samples.” The conclusion further notes, “The presence of viral proteins in exosomes suggests a role in HIV pathogenesis, immune modulation, and potential biomarker discovery.”
  2. Characterization of Molecular Pathways for Therapeutic Targeting: The study maps out the specific cellular pathways that HIV-1 proteins manipulate, which can become targets for new drugs.
    • Evidence from the article: The “Functional enrichment analysis of Nef-mediated pathways” identified significant enrichment in pathways like “chemokine receptor CXCR4 signalling pathway” and KEGG pathways such as “T cell receptor signalling,” “NF-kappa B signalling pathway,” and “autophagy.” Understanding these interactions provides a roadmap for developing targeted therapies.
  3. Mapping of Viral-Host Protein Interaction Networks: The detailed analysis of protein-protein interactions (PPIs) provides a fundamental understanding of how the virus functions within a host cell.
    • Evidence from the article: The study extensively details PPIs, noting, “STAU1 (Staufen1) presence in all three Gag, Gag-Pol, and Nef PPI networks shows that it may serve as a central hub, promoting interactions between viral proteins and perhaps regulating their functions.” Identifying such central hubs is crucial for developing drugs that can disrupt these critical interactions.

4. Table of SDGs, Targets, and Indicators

SDGs Targets Indicators (Implied from Article)
SDG 3: Good Health and Well-being Target 3.3: By 2030, end the epidemics of AIDS, tuberculosis, malaria and neglected tropical diseases and combat hepatitis, water-borne diseases and other communicable diseases.
  • Identification of potential biomarkers in patient-derived exosomes (e.g., HIV-1 proteins Gag-Pol, Nef, Env).
  • Characterization of molecular pathways involved in HIV-1 pathogenesis (e.g., TLR pathway, autophagy, inflammasome activation, apoptosis inhibition).
  • Analysis of viral-host protein interaction networks to identify therapeutic targets (e.g., interactions involving STAU1, EIF3 complex, CXCR4).
  • Differential expression analysis of host and viral proteins in infected vs. healthy individuals (e.g., via heatmap and volcano plot analysis).

Source: virologyj.biomedcentral.com