Precision medicine in hypertension: from pharmacogenomics to tailored treatment algorithms.

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Title: Precision medicine in hypertension: from pharmacogenomics to tailored treatment algorithms.
Alternate Title: Medicina de precisión en hipertensión: de la farmacogenómica a los algoritmos de tratamiento personalizados.
Authors: Djabbarova, Miyassar1 djabbarovamiyassar@gmail.com, Turdieva, Zilola2 zilolaturdieva1988@gmail.ru, Abdushukurova, Komila3 kamilaterapevt1983@gmail.com, Ramazanova, Nazira4 naziraramazanova154@gmail.com, Uktam, Fozilov5 uktam.fozilov@bsmi.uz, Tuxtayev, Ilxom6 tuxtayevilxom@gmail.com, Sabirov, Shuxrat7 shuxrat.sabirov@bsmi.uz, Khamidova, Nargiza8 hamidova.nargiza@bsmi.uz
Source: Revista Latinoamericana de Hipertensión. 2025, Vol. 20 Issue 9, p688-694. 7p.
Subjects: PHARMACOGENOMICS, HYPERTENSION, GENE mapping, INDIVIDUALIZED medicine, ANTIHYPERTENSIVE agents
Geographic Terms: UZBEKISTAN
Abstract (English): The aim of this research was to investigate the application of precision medicine in the treatment of hypertension, focusing on the role of genetics and personalized treatment algorithms in different Uzbekistan populations. Samples were collected from five large cities of the nation with different genetic and environmental characteristics. The results showed that the distribution of efficient genotypes for response to antihypertensive drugs, such as the CACNA1C and ACE genes, is heterogeneous in these populations and has a direct impact on the regulation of blood pressure and the occurrence of drug side effects. Genetically profiled treatment reduced mean blood pressure by 13-15 mmHg within 12 weeks and minimized complications in patients. Lifestyle also supplemented the function of increasing treatment response. The findings confirm the importance of the use of genetic, clinical, and behavioral information in creating efficacious treatment regimens. The study played an important role in improving the personalized and effective control of hypertension in Uzbekistan's heterogeneous populations and paved the way for precision medicine implementation in the country. [ABSTRACT FROM AUTHOR]
Abstract (Spanish): El objetivo de esta investigación fue investigar la aplicación de la medicina de precisión en el tratamiento de la hipertensión, centrándose en el papel de la genética y los algoritmos de tratamiento personalizados en diferentes poblaciones de Uzbekistán. Se recolectaron muestras de cinco grandes ciudades del país con diferentes características genéticas y ambientales. Los resultados mostraron que la distribución de genotipos eficientes para la respuesta a fármacos antihipertensivos, como los genes CACNA1C y ECA, es heterogénea en estas poblaciones y tiene un impacto directo en la regulación de la presión arterial y la aparición de efectos secundarios farmacológicos. El tratamiento con perfil genético redujo la presión arterial media entre 13 y 15 mmHg en 12 semanas y minimizó las complicaciones en los pacientes. El estilo de vida también complementó la función de aumentar la respuesta al tratamiento. Los hallazgos confirman la importancia del uso de información genética, clínica y conductual para crear regímenes de tratamiento eficaces. El estudio desempeñó un papel importante en la mejora del control personalizado y eficaz de la hipertensión en las poblaciones heterogéneas de Uzbekistán y sentó las bases para la implementación de la medicina de precisión en el país. [ABSTRACT FROM AUTHOR]
Copyright of Revista Latinoamericana de Hipertensión is the property of Revista Latinoamericana de Hipertension and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: MedicLatina
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PubTypeId: academicJournal
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Items – Name: Title
  Label: Title
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  Data: Precision medicine in hypertension: from pharmacogenomics to tailored treatment algorithms.
– Name: TitleAlt
  Label: Alternate Title
  Group: TiAlt
  Data: Medicina de precisión en hipertensión: de la farmacogenómica a los algoritmos de tratamiento personalizados.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AR" term="%22Djabbarova%2C+Miyassar%22">Djabbarova, Miyassar</searchLink><relatesTo>1</relatesTo><i> djabbarovamiyassar@gmail.com</i><br /><searchLink fieldCode="AR" term="%22Turdieva%2C+Zilola%22">Turdieva, Zilola</searchLink><relatesTo>2</relatesTo><i> zilolaturdieva1988@gmail.ru</i><br /><searchLink fieldCode="AR" term="%22Abdushukurova%2C+Komila%22">Abdushukurova, Komila</searchLink><relatesTo>3</relatesTo><i> kamilaterapevt1983@gmail.com</i><br /><searchLink fieldCode="AR" term="%22Ramazanova%2C+Nazira%22">Ramazanova, Nazira</searchLink><relatesTo>4</relatesTo><i> naziraramazanova154@gmail.com</i><br /><searchLink fieldCode="AR" term="%22Uktam%2C+Fozilov%22">Uktam, Fozilov</searchLink><relatesTo>5</relatesTo><i> uktam.fozilov@bsmi.uz</i><br /><searchLink fieldCode="AR" term="%22Tuxtayev%2C+Ilxom%22">Tuxtayev, Ilxom</searchLink><relatesTo>6</relatesTo><i> tuxtayevilxom@gmail.com</i><br /><searchLink fieldCode="AR" term="%22Sabirov%2C+Shuxrat%22">Sabirov, Shuxrat</searchLink><relatesTo>7</relatesTo><i> shuxrat.sabirov@bsmi.uz</i><br /><searchLink fieldCode="AR" term="%22Khamidova%2C+Nargiza%22">Khamidova, Nargiza</searchLink><relatesTo>8</relatesTo><i> hamidova.nargiza@bsmi.uz</i>
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  Data: <searchLink fieldCode="JN" term="%22Revista+Latinoamericana+de+Hipertensión%22">Revista Latinoamericana de Hipertensión</searchLink>. 2025, Vol. 20 Issue 9, p688-694. 7p.
– Name: Subject
  Label: Subjects
  Group: Su
  Data: <searchLink fieldCode="DE" term="%22PHARMACOGENOMICS%22">PHARMACOGENOMICS</searchLink><br /><searchLink fieldCode="DE" term="%22HYPERTENSION%22">HYPERTENSION</searchLink><br /><searchLink fieldCode="DE" term="%22GENE+mapping%22">GENE mapping</searchLink><br /><searchLink fieldCode="DE" term="%22INDIVIDUALIZED+medicine%22">INDIVIDUALIZED medicine</searchLink><br /><searchLink fieldCode="DE" term="%22ANTIHYPERTENSIVE+agents%22">ANTIHYPERTENSIVE agents</searchLink>
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  Label: Geographic Terms
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  Data: <searchLink fieldCode="DE" term="%22UZBEKISTAN%22">UZBEKISTAN</searchLink>
– Name: Abstract
  Label: Abstract (English)
  Group: Ab
  Data: The aim of this research was to investigate the application of precision medicine in the treatment of hypertension, focusing on the role of genetics and personalized treatment algorithms in different Uzbekistan populations. Samples were collected from five large cities of the nation with different genetic and environmental characteristics. The results showed that the distribution of efficient genotypes for response to antihypertensive drugs, such as the CACNA1C and ACE genes, is heterogeneous in these populations and has a direct impact on the regulation of blood pressure and the occurrence of drug side effects. Genetically profiled treatment reduced mean blood pressure by 13-15 mmHg within 12 weeks and minimized complications in patients. Lifestyle also supplemented the function of increasing treatment response. The findings confirm the importance of the use of genetic, clinical, and behavioral information in creating efficacious treatment regimens. The study played an important role in improving the personalized and effective control of hypertension in Uzbekistan's heterogeneous populations and paved the way for precision medicine implementation in the country. [ABSTRACT FROM AUTHOR]
– Name: Abstract
  Label: Abstract (Spanish)
  Group: Ab
  Data: El objetivo de esta investigación fue investigar la aplicación de la medicina de precisión en el tratamiento de la hipertensión, centrándose en el papel de la genética y los algoritmos de tratamiento personalizados en diferentes poblaciones de Uzbekistán. Se recolectaron muestras de cinco grandes ciudades del país con diferentes características genéticas y ambientales. Los resultados mostraron que la distribución de genotipos eficientes para la respuesta a fármacos antihipertensivos, como los genes CACNA1C y ECA, es heterogénea en estas poblaciones y tiene un impacto directo en la regulación de la presión arterial y la aparición de efectos secundarios farmacológicos. El tratamiento con perfil genético redujo la presión arterial media entre 13 y 15 mmHg en 12 semanas y minimizó las complicaciones en los pacientes. El estilo de vida también complementó la función de aumentar la respuesta al tratamiento. Los hallazgos confirman la importancia del uso de información genética, clínica y conductual para crear regímenes de tratamiento eficaces. El estudio desempeñó un papel importante en la mejora del control personalizado y eficaz de la hipertensión en las poblaciones heterogéneas de Uzbekistán y sentó las bases para la implementación de la medicina de precisión en el país. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of Revista Latinoamericana de Hipertensión is the property of Revista Latinoamericana de Hipertension and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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RecordInfo BibRecord:
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    Identifiers:
      – Type: doi
        Value: 10.5281/zenodo.17426162
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        Text: English
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    Subjects:
      – SubjectFull: PHARMACOGENOMICS
        Type: general
      – SubjectFull: HYPERTENSION
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      – SubjectFull: GENE mapping
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      – SubjectFull: ANTIHYPERTENSIVE agents
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      – SubjectFull: UZBEKISTAN
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              Text: 2025
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