Hypertension in African populations: review and computational insights

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dc.contributor.authorMabhida, Sihle E.en_ZA
dc.contributor.authorMashatola, Lebohangen_Za
dc.contributor.authorKaur, Mandeepen_ZA
dc.contributor.authorSharma, Jyoti R.en_ZA
dc.contributor.authorApalata, Tekeen_ZA
dc.contributor.authorMuhamed, Babuen_ZA
dc.contributor.authorBenjeddou, Mongien_ZA
dc.contributor.authorJohnson, Rabiaen_ZA
dc.date.accessioned2023-04-20T06:50:32Zen_ZA
dc.date.available2023-04-20T06:50:32Zen_ZA
dc.date.issued2021-04en_ZA
dc.descriptionCITATION: Mabhida, S.E.; Mashatola, L.; Kaur, M.; Sharma, J.R.; Apalata, T.; Muhamed, B.; Benjeddou, M.; Johnson, R. Hypertension in African Populations: Review and Computational Insights. Genes 2021, 12, 532. doi.10.3390/genes12040532en_ZA
dc.descriptionThe original publication is available at: mdpi.comen_ZA
dc.description.abstractHypertension (HTN) is a persistent public health problem affecting approximately 1.3 billion individuals globally. Treatment-resistant hypertension (TRH) is defined as high blood pressure (BP) in a hypertensive patient that remains above goal despite use of ≥3 antihypertensive agents of different classes including a diuretic. Despite a plethora of treatment options available, only 31.0% of individuals have their HTN controlled. Interindividual genetic variability to drug response might explain this disappointing outcome because of genetic polymorphisms. Additionally, the poor knowledge of pathophysiological mechanisms underlying hypertensive disease and the long-term interaction of antihypertensive drugs with blood pressure control mechanisms further aggravates the problem. Furthermore, in Africa, there is a paucity of pharmacogenomic data on the treatment of resistant hypertension. Therefore, identification of genetic signals having the potential to predict the response of a drug for a given individual in an African population has been the subject of intensive investigation. In this review, we aim to systematically extract and discuss African evidence on the genetic variation, and pharmacogenomics towards the treatment of HTN. Furthermore, in silico methods are utilized to elucidate biological processes that will aid in identifying novel drug targets for the treatment of resistant hypertension in an African population. To provide an expanded view of genetic variants associated with the development of HTN, this study was performed using publicly available databases such as PubMed, Scopus, Web of Science, African Journal Online, PharmGKB searching for relevant papers between 1984 and 2020. A total of 2784 articles were reviewed, and only 42 studies were included following the inclusion criteria. Twenty studies reported associations with HTN and genes such as AGT (rs699), ACE (rs1799752), NOS3 (rs1799983), MTHFR (rs1801133), AGTR1 (rs5186), while twenty-two studies did not show any association within the African population. Thereafter, an in silico predictive approach was utilized to identify several genes including CLCNKB, CYPB11B2, SH2B2, STK9, and TBX5 which may act as potential drug targets because they are involved in pathways known to influence blood pressure. Next, co-expressed genes were identified as they are controlled by the same transcriptional regulatory program and may potentially be more effective as multiple drug targets in the treatment regimens for HTN. Genes belonging to the co-expressed gene cluster, ACE, AGT, AGTR1, AGTR2, and NOS3 as well as CSK and ADRG1 showed enrichment of G-protein-coupled receptor activity, the classical targets of drug discovery, which mediate cellular signaling processes. The latter is of importance, as the targeting of co-regulatory gene clusters will allow for the development of more effective HTN drug targets that could decrease the prevalence of both controlled and TRH.en_ZA
dc.description.versionPublisher’s versionen_ZA
dc.format.extent23 pagesen_ZA
dc.identifier.citationMabhida, S.E.; Mashatola, L.; Kaur, M.; Sharma, J.R.; Apalata, T.; Muhamed, B.; Benjeddou, M.; Johnson, R. Hypertension in African Populations: Review and Computational Insights. Genes 2021, 12, 532. doi.10.3390/genes12040532en_ZA
dc.identifier.issn2073-4425 (online)en_ZA
dc.identifier.otherdoi.10.3390/genes12040532en_ZA
dc.identifier.urihttp://hdl.handle.net/10019.1/126798en_ZA
dc.language.isoen_ZAen_ZA
dc.publisherMDPIen_ZA
dc.rights.holderAuthors retain copyrighten_ZA
dc.subjectHypertension -- Africaen_ZA
dc.subjectPharmacogenomics -- Africaen_ZA
dc.subjectSingle nucleotide polymorphismsen_ZA
dc.subjectHuman genetics -- Variation -- Africaen_ZA
dc.subjectDrug resistance -- Africaen_ZA
dc.titleHypertension in African populations: review and computational insightsen_ZA
dc.typeArticleen_ZA
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