| Literature DB >> 34090531 |
Kariofyllis Karamperis1,2, Maria T Tsoumpeli3, Fotios Kounelis4, Maria Koromina1, Christina Mitropoulou2, Catia Moutinho5, George P Patrinos6,7,8.
Abstract
For decades, various strategies have been proposed to solve the enigma of hemoglobinopathies, especially severe cases. However, most of them seem to be lagging in terms of effectiveness and safety. So far, the most prevalent and promising treatment options for patients with β-types hemoglobinopathies, among others, predominantly include drug treatment and gene therapy. Despite the significant improvements of such interventions to the patient's quality of life, a variable response has been demonstrated among different groups of patients and populations. This is essentially due to the complexity of the disease and other genetic factors. In recent years, a more in-depth understanding of the molecular basis of the β-type hemoglobinopathies has led to significant upgrades to the current technologies, as well as the addition of new ones attempting to elucidate these barriers. Therefore, the purpose of this article is to shed light on pharmacogenomics, gene addition, and genome editing technologies, and consequently, their potential use as direct and indirect genome-based interventions, in different strategies, referring to drug and gene therapy. Furthermore, all the latest progress, updates, and scientific achievements for patients with β-type hemoglobinopathies will be described in detail.Entities:
Keywords: Gene addition; Gene therapy; Genome editing technologies; Pharmacogenomics; Sickle cell disease; Viral and non-viral vectors; β-thalassemia
Mesh:
Substances:
Year: 2021 PMID: 34090531 PMCID: PMC8178887 DOI: 10.1186/s40246-021-00329-0
Source DB: PubMed Journal: Hum Genomics ISSN: 1473-9542 Impact factor: 4.639
List of the currently available studies unrevealing the correlation of specific genes and genomic variants with hydroxyurea treatment efficacy. Findings were obtained using search engines databases such as PubMed Central (PMC-NCBI), dbSNP [76], and based on findings from our previous work [25, 69]
| Disease | Ancestry | Gene(s) | dbSNP rsID | Location | Reference | |
|---|---|---|---|---|---|---|
| SCA | 137 | African American | rs10494225rs9376230rs9483947 rs826729 rs765587 rs9693712 rs172652 rs380620 rs816361 rs7977109 rs9319428 rs2182008 rs8002446 rs10483801 rs10483802 rs1137933 rs944725 | Untranslated Intronic Intronic Intronic Intronic Intronic Intronic Intronic Intronic Intronic Intronic Intronic Intronic Intronic Intronic Synonymous Intronic | [ | |
TDT, NTDT, Hb S/β-Thal | 87 | Hellenic | STR 5’-GCGCG-3’ rs944725 rs10483801 | Promoter Intronic Intronic | [ | |
β-thal major, Intermedia, Hb S/β-Thal | 138 | Hellenic | rs9483947 rs9376230 | Intronic Intronic | [ | |
β-thal major, Intermedia, Hb S/β-Thal | 143 | Hellenic | rs3191333 | 3´‑UTR | [ | |
β-thal major, Intermedia, SCD | 75 | Egyptian | rs3191333 | 3’-UTR | [ | |
β-thal major, NTDT, Hb S/β-Thal | 165 | Hellenic | rs7166737 | Intronic | [ | |
β-thal major, NTDT, Hb S/β-Thal | 210 | Hellenic | rs2236599 | Non-coding transcript exon variant | [ | |
| β-thal major, Intermedia | 79 | Western Indian | XmnI polymorphism | promoter | [ | |
| SCD | 150 | N/A | XmnI polymorphism | promoter | [ | |
| β-thal major | 45 | N/A | XmnI polymorphism | promoter | [ | |
| β-thal major | 133 | Iranian | XmnI polymorphism | promoter | [ | |
| β-thal major | 143 | N/A | XmnI polymorphism | promoter | [ | |
| β-thal major | 54 | Algerian | XmnI polymorphism | promoter | [ | |
| β-thal major | 18 | N/A | XmnI polymorphism | promoter | [ | |
| β-thal intermedia | 37 | N/A | XmnI polymorphism | promoter | [ | |
| β-thal major/intermedia | 81 | Iranian | XmnI polymorphism | promoter | [ |
N/A Not applicable, NTDT Non-Transfusion dependent thalassemia, TDT Transfusion dependent thalassemia, SCD Sickle cell disease, SCA Sickle cell anemia, Hb S/β-Thal compound heterozygous condition
Fig. 1Comprehensive overview: viral and non-viral vectors in gene therapy clinical trials. Genus and family of viruses are reported, according to the International Committee on the taxonomy of viruses (ICTV) system. Information about the genetic material, approximate vector capacity (transgene insertion, etc.), morphology (3D structure) of each vector, are also included. On the chart (right side), the application percentage per vector in gene therapy clinical trials is displayed (based on Ginn and co-workers, 2018, John Wiley and Sons, Journal of Gene Medicine. 2018). Among them, vectors Nos. 2, 4, and 5 (colored purple) are also used in gene therapy clinical trials on β-hemoglobinopathies patients, and among them, lentiviral vectors are the most common (colored light orange row with an asterisk). The asterisk has been used to point out the significance of lentiviral vectors on β-type hemoglobinopathies and in addition, as these types of vectors are linked with Fig. 2, demonstrating their performance in clinical practice
Fig. 2Clinical Trials in β-hemoglobinopathies patients using lentiviral vectors (source of data: [76] Assessed 13-11-2020). The total number of results was performed using certain filtering criteria: “Recruitment status: Not yet recruiting OR Recruiting OR Active, not Recruiting,” “Sex status: All,” “Study type: Interventional (Clinical Trial),” Study Phase: Phase 2 OR Phase 3, Period of clinical trial: 2010 to 2020. The asterisk in clinical trials identities: NCT04293185, NCT03207009, NCT02906202 symbolizes that these clinical trials are sponsored by Bluebird Bio and have been accepted to phase 3. In this phase, the recruitment includes an increased number of participants, in different locations and populations.