KP Ramirez Week 3

What do i know about the HIV virus?

In Class Activity

• I know that HIV is a precursor to AIDS which is an immune disorder. It's transferred through blood and seminal fluids and considered a global pandemic. Aside from this very basic information there isn't much more that I know directly about the virus. I am unsure if there are variations in strains of HIV, as well as the difference between those who have been living with the virus for many years, versus those who only lasted a brief period of time.

Questions

• Has there been any major developments in finding a cure for HIV?
• How do some individuals living with HIV delay the onset of AIDS?
• How many strains of HIV are there?

Assignment

I worked through the Bioinformatics for dummies book and immediately noticed several differences. The book itself begins with a brief introduction to the PubMED database including how to begin a query. The screen shots featured in the book were out of date, this is common as one aspect of Bioinformatics is the constantly evolving interface of databases. Secondly I ran through the sample queries it asks in the book, namely the search of the name Abergel and dUTPase together. In the book it cites that this will provide only one result which would in turn present the full abstract right away, however, since the publication there now yields two results.

Searches

I began searching PubMed and used the keywords Human Immunodeficiency Virus Type 1, after looking through the results I decided on the following paper after reading through the abstract[1]. It's important to note that the full text for the following article was not available from PubMed directly, instead I was able to access the full text through Google Scholar in the following link.

• 1. Zhao W, Feng D, Sun S, Han T, and Sui S. The anti-viral protein of trichosanthin penetrates into human immunodeficiency virus type 1. Acta Biochim Biophys Sin (Shanghai). 2010 Feb;42(2):91-7. DOI:10.1093/abbs/gmp111 |

[2]

Comparisons

I felt that there were many ways to approach my comparisons between the databases. The first, as cited earlier was that PubMed did not have the full text available for the article I chose, however, this was available through Google Scholar and Web of Knowledge. Google Scholar was extremely easy to use as the article was found through the key words Human Immunodeficiency Virus Type 1 and additionally could be accessed by typing the name of the entire article. Web of Knowledge had a different query, extremely similar to literature databases, where you can type in Author searchs, Key words, and other through many search bars. While this gives the ability to be more comprehensive, it is not as user friendly as the queries from PubMed or Google Scholar. In order to best compare my results I used the same key word search (Human Immunodeficiency Virus Type 1)for Google Scholar and the ISI Web of ScienceThe following were the top ten results for each.

PubMed

• PubMed felt like the most comprehensive and authoritative of the databases, however, I still found some difficulty such as missing full text.

1. Mining protein dynamics from Sets of crystal structures using 'Consensus Structures'
2. The anti-viral protein of trichosanthin penetrates into human immunodeficiency virus type 1
3. Retroviral intasome assembly and inhibition of DNA strand transfer
4. Gender differences in drug toxicity
5. Anti-HIV-1 activity of low molecular weight sulfated chitooligosaccharides
6. A novel, rapid method to detect infectious HIV-1 from plasma from persons infected with HIV-1
7. InChI-based optimal descriptors: QSAR analysis of fullerene[C60]-based HIV-1 PR inhibitors by correlation balance
8. Role of etravirine in combination antiretroviral therapy
9. Etravirine in first-line therapy
10. Chemical characteristics, mechanism of action and antiviral activity of etravirine

Google Scholar

• Google Scholar was the most user friendly of the databases, I really appreciated that the results highlighted the queries.

1. Viral dynamics in human immunodeficiency virus type 1 infection
2. … with the initial control of viremia in primary human immunodeficiency virus type 1 …
3. Reduction of maternal-infant transmission of human immunodeficiency virus type 1 …
4. … and serologic markers in infection with human immunodeficiency virus type 1
5. Viral load and heterosexual transmission of human immunodeficiency virus type 1
6. … levels of viremia in patients with primary human immunodeficiency virus type 1 …
7. … associated with control of viremia in primary human immunodeficiency virus type 1 …
8. Quantitation of human immunodeficiency virus type 1 in the blood of infected …
9. Reduction of maternal-infant transmission of human immunodeficiency virus type 1 …
10. … characterization of long-term survivors of human immunodeficiency virus type 1 …

Web of Science

• Web of science was effective, however, of all three I found it the least user friendly.

1. The vpx protein of HIV-2
2. Autoreactivity in an HIV-1 broadly reactive neutralizing antibody variable region heavy chain induces immunologic tolerance
3. Low prevalence of varicella zoster virus and herpes simplex virus type 2 in saliva from human immunodeficiency virus-infected persons in the era of highly active antiretroviral therapy
4. Broadly Neutralizing Monoclonal Antibodies 2F5 and 4E10 Directed against the Human Immunodeficiency Virus Type 1 gp41 Membrane-Proximal External Region Protect against Mucosal Challenge by Simian-Human Immunodeficiency Virus SHIVBa-L
5. Evidence for an Activation Domain at the Amino Terminus of Simian Immunodeficiency Virus Vpx
6. Tiered Categorization of a Diverse Panel of HIV-1 Env Pseudoviruses for Assessment of Neutralizing Antibodies
7. Protease Cleavage Sites in HIV-1 gp120 Recognized by Antigen Processing Enzymes Are Conserved and Located at Receptor Binding Sites
8. Breadth of Human Immunodeficiency Virus-Specific Neutralizing Activity in Sera: Clustering Analysis and Association with Clinical Variables
9. Application of the Dipeptidyl Peptidase IV (DPPIV/CD26) Based Prodrug Approach to Different Amine-Containing Drugs
10. HIV-1 Protease Inhibitors with a Transition-State Mimic Comprising a Tertiary Alcohol: Improved Antiviral Activity in Cells

• The Markaim article was cited 52 times according to Web of Science prospective search, the following are the top 5 articles that included the citation.

1. A comparative study of HIV-1 clade C env evolution in a Zambian infant with an infected rhesus macaque during disease progression
2. Multiple-infection and recombination in HIV-1 within a longitudinal cohort of women
3. HIV-1 evolution in gag and env is highly correlated but exhibits different relationships with viral load and the immune response
4. Relationship of Injection Drug Use, Antiretroviral Therapy Resistance, and Genetic Diversity in the HIV-1 pol Gene
5. Dynamic Correlation between Intrahost HIV-1 Quasispecies Evolution and Disease Progression

Article Assignment

Top 10 Definitions This table separated the 15 individual subjects into progressor categorization based on the lowest level of CD4 Tcell decline attained during the period of observation.

Patterns of CD4 decline were quite variable among the 15 subjects (Fig. 1), with median annual changes in the subjects’ CD4 T cell number ranging from an increase of 53 cells per year to a decrease of 593 cells per year (Table 1). Serum viral load data were available for all subjects from one of the first three visits and ranged from 1,702 to 321,443 copies of viral genomic RNAyml (Table 1).

Annual changes in CD4, intravisit nucleotide diversity, and percent nucleotide divergence from the first viruses sequenced after seroconversion reflect slopes of regression lines between individual visits. As slopes of CD4 T cell decline were quite variable between visits in the same subject, progressor categorization of subjects was based on the lowest level of CD4 T cell counts attained during the period of observation. Although subject 7 had a 392yyear CD4 T cell decline, his CD4 T cell level never fell below 200 and therefore he was included in the moderate progressor group. His movement to the rapid progressor group would not have altered the statistical support for any of the conclusions reached

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Links

BIOL398-01/S10:Week 2