Identification of Molecular Mechanisms Involved in Viral Infection Progression Based on Text Mining: Case Study for HIV Infection

Viruses cause various infections that may affect human lifestyle for durations ranging from several days to for many years. Although preventative and therapeutic remedies are available for many viruses, they may still have a profound impact on human life. The human immunodeficiency virus type 1 is t...

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Main Authors: Olga Tarasova, Nadezhda Biziukova, Andrey Shemshura, Dmitry Filimonov, Dmitry Kireev, Anastasia Pokrovskaya, Vladimir V. Poroikov
Format: Article
Language:English
Published: MDPI AG 2023-01-01
Series:International Journal of Molecular Sciences
Subjects:
Online Access:https://www.mdpi.com/1422-0067/24/2/1465
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author Olga Tarasova
Nadezhda Biziukova
Andrey Shemshura
Dmitry Filimonov
Dmitry Kireev
Anastasia Pokrovskaya
Vladimir V. Poroikov
author_facet Olga Tarasova
Nadezhda Biziukova
Andrey Shemshura
Dmitry Filimonov
Dmitry Kireev
Anastasia Pokrovskaya
Vladimir V. Poroikov
author_sort Olga Tarasova
collection DOAJ
description Viruses cause various infections that may affect human lifestyle for durations ranging from several days to for many years. Although preventative and therapeutic remedies are available for many viruses, they may still have a profound impact on human life. The human immunodeficiency virus type 1 is the most common cause of HIV infection, which represents one of the most dangerous and complex diseases since it affects the immune system and causes its disruption, leading to secondary complications and negatively influencing health-related quality of life. While highly active antiretroviral therapy may decrease the viral load and the velocity of HIV infection progression, some individual peculiarities may affect viral load control or the progression of T-cell malfunction induced by HIV. Our study is aimed at the text-based identification of molecular mechanisms that may be involved in viral infection progression, using HIV as a case study. Specifically, we identified human proteins and genes which commonly occurred, overexpressed or underexpressed, in the collections of publications relevant to (i) HIV infection progression and (ii) acute and chronic stages of HIV infection. Then, we considered biological processes that are controlled by the identified protein and genes. We verified the impact of the identified molecules in the associated clinical study.
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spelling doaj.art-a3b3303223f94003b0791c1defa3dd662023-11-30T22:40:50ZengMDPI AGInternational Journal of Molecular Sciences1661-65961422-00672023-01-01242146510.3390/ijms24021465Identification of Molecular Mechanisms Involved in Viral Infection Progression Based on Text Mining: Case Study for HIV InfectionOlga Tarasova0Nadezhda Biziukova1Andrey Shemshura2Dmitry Filimonov3Dmitry Kireev4Anastasia Pokrovskaya5Vladimir V. Poroikov6Institute of Biomedical Chemistry, 10 Bldg. 8, Pogodinskaya Str., 119121 Moscow, RussiaInstitute of Biomedical Chemistry, 10 Bldg. 8, Pogodinskaya Str., 119121 Moscow, RussiaFederal Budget Public Health Institution “Clinical Center of HIV/AIDS Treatment and Prevention” of the Ministry of Health of Krasnodar Region, 204/2, im. Mitrofana Sedina Str., 350000 Krasnodar, RussiaInstitute of Biomedical Chemistry, 10 Bldg. 8, Pogodinskaya Str., 119121 Moscow, RussiaFederal Budget Institution of Science «Central Research Institute for Epidemiology» of the Federal Service for Surveillance on Consumer Rights Protection and Human Wellbeing, Novogireevskaya Str., 3A, 111123 Moscow, RussiaFederal Budget Institution of Science «Central Research Institute for Epidemiology» of the Federal Service for Surveillance on Consumer Rights Protection and Human Wellbeing, Novogireevskaya Str., 3A, 111123 Moscow, RussiaInstitute of Biomedical Chemistry, 10 Bldg. 8, Pogodinskaya Str., 119121 Moscow, RussiaViruses cause various infections that may affect human lifestyle for durations ranging from several days to for many years. Although preventative and therapeutic remedies are available for many viruses, they may still have a profound impact on human life. The human immunodeficiency virus type 1 is the most common cause of HIV infection, which represents one of the most dangerous and complex diseases since it affects the immune system and causes its disruption, leading to secondary complications and negatively influencing health-related quality of life. While highly active antiretroviral therapy may decrease the viral load and the velocity of HIV infection progression, some individual peculiarities may affect viral load control or the progression of T-cell malfunction induced by HIV. Our study is aimed at the text-based identification of molecular mechanisms that may be involved in viral infection progression, using HIV as a case study. Specifically, we identified human proteins and genes which commonly occurred, overexpressed or underexpressed, in the collections of publications relevant to (i) HIV infection progression and (ii) acute and chronic stages of HIV infection. Then, we considered biological processes that are controlled by the identified protein and genes. We verified the impact of the identified molecules in the associated clinical study.https://www.mdpi.com/1422-0067/24/2/1465HIV/AIDSviral infectionviral infection progressionacute HIV infectionchronic HIV infectiontext mining
spellingShingle Olga Tarasova
Nadezhda Biziukova
Andrey Shemshura
Dmitry Filimonov
Dmitry Kireev
Anastasia Pokrovskaya
Vladimir V. Poroikov
Identification of Molecular Mechanisms Involved in Viral Infection Progression Based on Text Mining: Case Study for HIV Infection
International Journal of Molecular Sciences
HIV/AIDS
viral infection
viral infection progression
acute HIV infection
chronic HIV infection
text mining
title Identification of Molecular Mechanisms Involved in Viral Infection Progression Based on Text Mining: Case Study for HIV Infection
title_full Identification of Molecular Mechanisms Involved in Viral Infection Progression Based on Text Mining: Case Study for HIV Infection
title_fullStr Identification of Molecular Mechanisms Involved in Viral Infection Progression Based on Text Mining: Case Study for HIV Infection
title_full_unstemmed Identification of Molecular Mechanisms Involved in Viral Infection Progression Based on Text Mining: Case Study for HIV Infection
title_short Identification of Molecular Mechanisms Involved in Viral Infection Progression Based on Text Mining: Case Study for HIV Infection
title_sort identification of molecular mechanisms involved in viral infection progression based on text mining case study for hiv infection
topic HIV/AIDS
viral infection
viral infection progression
acute HIV infection
chronic HIV infection
text mining
url https://www.mdpi.com/1422-0067/24/2/1465
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