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Recognition of HIV-1 Peptides by Host CTL Is Related to HIV-1 Similarity to Human Proteins

Identifieur interne : 002B36 ( Main/Exploration ); précédent : 002B35; suivant : 002B37

Recognition of HIV-1 Peptides by Host CTL Is Related to HIV-1 Similarity to Human Proteins

Auteurs : Morgane Rolland [États-Unis] ; David C. Nickle [États-Unis] ; Wenjie Deng [États-Unis] ; Nicole Frahm [États-Unis] ; Christian Brander [États-Unis] ; Gerald H. Learn [États-Unis] ; David Heckerman [États-Unis] ; Nebosja Jojic [États-Unis] ; Vladimir Jojic [États-Unis] ; Bruce D. Walker [États-Unis] ; James I. Mullins [États-Unis]

Source :

RBID : PMC:1952107

Descripteurs français

English descriptors

Abstract

Background

While human immunodeficiency virus type 1 (HIV-1)-specific cytotoxic T lymphocytes preferentially target specific regions of the viral proteome, HIV-1 features that contribute to immune recognition are not well understood. One hypothesis is that similarities between HIV and human proteins influence the host immune response, i.e., resemblance between viral and host peptides could preclude reactivity against certain HIV epitopes.

Methodology/Principal Findings

We analyzed the extent of similarity between HIV-1 and the human proteome. Proteins from the HIV-1 B consensus sequence from 2001 were dissected into overlapping k-mers, which were then probed against a non-redundant database of the human proteome in order to identify segments of high similarity. We tested the relationship between HIV-1 similarity to host encoded peptides and immune recognition in HIV-infected individuals, and found that HIV immunogenicity could be partially modulated by the sequence similarity to the host proteome. ELISpot responses to peptides spanning the entire viral proteome evaluated in 314 individuals showed a trend indicating an inverse relationship between the similarity to the host proteome and the frequency of recognition. In addition, analysis of responses by a group of 30 HIV-infected individuals against 944 overlapping peptides representing a broad range of individual HIV-1B Nef variants, affirmed that the degree of similarity to the host was significantly lower for peptides with reactive epitopes than for those that were not recognized.

Conclusions/Significance

Our results suggest that antigenic motifs that are scarcely represented in human proteins might represent more immunogenic CTL targets not selected against in the host. This observation could provide guidance in the design of more effective HIV immunogens, as sequences devoid of host-like features might afford superior immune reactivity.


Url:
DOI: 10.1371/journal.pone.0000823
PubMed: 17786195
PubMed Central: 1952107


Affiliations:


Links toward previous steps (curation, corpus...)


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<term>Amino Acid Sequence</term>
<term>Enzyme-Linked Immunosorbent Assay</term>
<term>Gene Products, nef (chemistry)</term>
<term>Gene Products, nef (immunology)</term>
<term>HIV-1 (immunology)</term>
<term>Humans</term>
<term>Proteins (chemistry)</term>
<term>Proteins (immunology)</term>
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<term>Proteins</term>
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<term>Lymphocytes T cytotoxiques</term>
<term>Produits du gène nef</term>
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<term>HIV-1</term>
<term>T-Lymphocytes, Cytotoxic</term>
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<term>Amino Acid Sequence</term>
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<term>Sequence Homology, Amino Acid</term>
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<term>Similitude de séquences d'acides aminés</term>
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<title>Background</title>
<p>While human immunodeficiency virus type 1 (HIV-1)-specific cytotoxic T lymphocytes preferentially target specific regions of the viral proteome, HIV-1 features that contribute to immune recognition are not well understood. One hypothesis is that similarities between HIV and human proteins influence the host immune response, i.e., resemblance between viral and host peptides could preclude reactivity against certain HIV epitopes.</p>
</sec>
<sec>
<title>Methodology/Principal Findings</title>
<p>We analyzed the extent of similarity between HIV-1 and the human proteome. Proteins from the HIV-1 B consensus sequence from 2001 were dissected into overlapping k-mers, which were then probed against a non-redundant database of the human proteome in order to identify segments of high similarity. We tested the relationship between HIV-1 similarity to host encoded peptides and immune recognition in HIV-infected individuals, and found that HIV immunogenicity could be partially modulated by the sequence similarity to the host proteome. ELISpot responses to peptides spanning the entire viral proteome evaluated in 314 individuals showed a trend indicating an inverse relationship between the similarity to the host proteome and the frequency of recognition. In addition, analysis of responses by a group of 30 HIV-infected individuals against 944 overlapping peptides representing a broad range of individual HIV-1B Nef variants, affirmed that the degree of similarity to the host was significantly lower for peptides with reactive epitopes than for those that were not recognized.</p>
</sec>
<sec>
<title>Conclusions/Significance</title>
<p>Our results suggest that antigenic motifs that are scarcely represented in human proteins might represent more immunogenic CTL targets not selected against in the host. This observation could provide guidance in the design of more effective HIV immunogens, as sequences devoid of host-like features might afford superior immune reactivity.</p>
</sec>
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</author>
<author>
<name sortKey="Galvan, P" uniqKey="Galvan P">P Galvan</name>
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<author>
<name sortKey="Sanchez, C" uniqKey="Sanchez C">C Sanchez</name>
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<name sortKey="Feyler, A" uniqKey="Feyler A">A Feyler</name>
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<author>
<name sortKey="Escande, A" uniqKey="Escande A">A Escande</name>
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<author>
<name sortKey="Hoch, So" uniqKey="Hoch S">SO Hoch</name>
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</author>
<author>
<name sortKey="De Keyser, H" uniqKey="De Keyser H">H De Keyser</name>
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<author>
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<name sortKey="Rodriguez, T" uniqKey="Rodriguez T">T Rodriguez</name>
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</back>
</TEI>
<affiliations>
<list>
<country>
<li>États-Unis</li>
</country>
<region>
<li>Massachusetts</li>
<li>Washington (État)</li>
</region>
<settlement>
<li>Seattle</li>
</settlement>
<orgName>
<li>Université de Washington</li>
</orgName>
</list>
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<country name="États-Unis">
<region name="Washington (État)">
<name sortKey="Rolland, Morgane" sort="Rolland, Morgane" uniqKey="Rolland M" first="Morgane" last="Rolland">Morgane Rolland</name>
</region>
<name sortKey="Brander, Christian" sort="Brander, Christian" uniqKey="Brander C" first="Christian" last="Brander">Christian Brander</name>
<name sortKey="Deng, Wenjie" sort="Deng, Wenjie" uniqKey="Deng W" first="Wenjie" last="Deng">Wenjie Deng</name>
<name sortKey="Frahm, Nicole" sort="Frahm, Nicole" uniqKey="Frahm N" first="Nicole" last="Frahm">Nicole Frahm</name>
<name sortKey="Heckerman, David" sort="Heckerman, David" uniqKey="Heckerman D" first="David" last="Heckerman">David Heckerman</name>
<name sortKey="Jojic, Nebosja" sort="Jojic, Nebosja" uniqKey="Jojic N" first="Nebosja" last="Jojic">Nebosja Jojic</name>
<name sortKey="Jojic, Vladimir" sort="Jojic, Vladimir" uniqKey="Jojic V" first="Vladimir" last="Jojic">Vladimir Jojic</name>
<name sortKey="Learn, Gerald H" sort="Learn, Gerald H" uniqKey="Learn G" first="Gerald H." last="Learn">Gerald H. Learn</name>
<name sortKey="Mullins, James I" sort="Mullins, James I" uniqKey="Mullins J" first="James I." last="Mullins">James I. Mullins</name>
<name sortKey="Nickle, David C" sort="Nickle, David C" uniqKey="Nickle D" first="David C." last="Nickle">David C. Nickle</name>
<name sortKey="Walker, Bruce D" sort="Walker, Bruce D" uniqKey="Walker B" first="Bruce D." last="Walker">Bruce D. Walker</name>
</country>
</tree>
</affiliations>
</record>

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