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1.
J Asthma ; 61(6): 511-519, 2024 Jun.
Artículo en Inglés | MEDLINE | ID: mdl-38153325

RESUMEN

OBJECTIVE: Cystic fibrosis (CF) is an autosomal recessive disorder caused by mutations in the CFTR gene. This study aimed to identify the spectrum of CFTR variants reported in individuals with CF from South Asia (ISA). DATA SOURCES AND STUDY SELECTION: We conducted a PubMed search for CFTR variants reported in ISA. Full text of original articles and case reports was read to compile data on reported variants. To gather additional data, we independently cross-referenced each variant with the CFTR Mutation Database and ClinVar. RESULTS: Our investigation identified a total of 92 CFTR variants reported across 30 articles. The most frequently tested, and reported variant was ΔF508 with a global frequency of 69.74%. Notably, we found 14 pathogenic CFTR mutations shared among ISA, originating from more than one South Asian country: ΔF508, 1525-1 G > A, G542X, S549N, R117H, S549R, R709X, V456A, Y569D, L1077P, 1161delC, 1898 + 1 G > T, G551D, and 2184insA. CONCLUSION: In summary, the higher prevalence of consanguinity and the limited availability of CF diagnostic resources in South Asia considerably contribute to the prevalence of genetic disorders like CF. The spectrum of CFTR mutations exhibits noticeable variations within South Asian and other populations. The inclusion of current study-enlisted CFTR gene variants is highly recommended for CF disease genetic testing in South Asia which may aid in achieving a precise diagnosis, enhancing disease management, and discovering drugs for currently untreatable genetic variants. It is also imperative to conduct a comprehensive study in this region, especially in previously unexplored countries such as Nepal, Bhutan, Maldives, and Bangladesh.


Asunto(s)
Regulador de Conductancia de Transmembrana de Fibrosis Quística , Fibrosis Quística , Mutación , Regulador de Conductancia de Transmembrana de Fibrosis Quística/genética , Humanos , Fibrosis Quística/genética , Fibrosis Quística/epidemiología , Asia/epidemiología , Consanguinidad , Sur de Asia
2.
Theory Biosci ; 133(2): 91-109, 2014 Jun.
Artículo en Inglés | MEDLINE | ID: mdl-24374404

RESUMEN

In this paper, we present a rigorous mathematical analysis of a deterministic model for the transmission dynamics of hepatitis C. The model is suitable for populations where two frequent modes of transmission of hepatitis C virus, namely unsafe blood transfusions and intravenous drug use, are dominant. The susceptible population is divided into two distinct compartments, the intravenous drug users and individuals undergoing unsafe blood transfusions. Individuals belonging to each compartment may develop acute and then possibly chronic infections. Chronically infected individuals may be quarantined. The analysis indicates that the eradication and persistence of the disease is completely determined by the magnitude of basic reproduction number R(c). It is shown that for the basic reproduction number R(c) < 1, the disease-free equilibrium is locally and globally asymptotically stable. For R(c) > 1, an endemic equilibrium exists and the disease is uniformly persistent. In addition, we present the uncertainty and sensitivity analyses to investigate the influence of different important model parameters on the disease prevalence. When the infected population persists, we have designed a time-dependent optimal quarantine strategy to minimize it. The Pontryagin's Maximum Principle is used to characterize the optimal control in terms of an optimality system which is solved numerically. Numerical results for the optimal control are compared against the constant controls and their efficiency is discussed.


Asunto(s)
Número Básico de Reproducción/estadística & datos numéricos , Brotes de Enfermedades/prevención & control , Brotes de Enfermedades/estadística & datos numéricos , Hepatitis C/prevención & control , Hepatitis C/transmisión , Modelos Teóricos , Abuso de Sustancias por Vía Intravenosa/epidemiología , Número Básico de Reproducción/prevención & control , Transfusión Sanguínea/estadística & datos numéricos , Simulación por Computador , Hepatitis C/epidemiología , Humanos , Incidencia , Factores de Riesgo
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