RESUMO
Cardiovascular disease is a major global health issue. In particular, acute myocardial infarction (AMI) requires urgent attention and early diagnosis. The use of point-of-care diagnostics has resulted in the improved management of cardiovascular disease, but a major drawback is that the performance of POC devices does not rival that of central laboratory tests. Recently, many studies and advances have been made in the field of surface-enhanced Raman scattering (SERS), including the development of POC biosensors that utilize this detection method. Here, we present a review of the strengths and limitations of these emerging SERS-based biosensors for AMI diagnosis. The ability of SERS to multiplex sensing against existing POC detection methods are compared and discussed. Furthermore, SERS calibration-free methods that have recently been explored to minimize the inconvenience and eliminate the limitations caused by the limited linear range and interassay differences found in the calibration curves are outlined. In addition, the incorporation of artificial intelligence (AI) in SERS techniques to promote multivariate analysis and enhance diagnostic accuracy are discussed. The future prospects for SERS-based POC devices that include wearable POC SERS devices toward predictive, personalized medicine following the Fourth Industrial Revolution are proposed.
Assuntos
Infarto do Miocárdio/diagnóstico , Testes Imediatos , Análise Espectral Raman/métodos , Inteligência Artificial , Técnicas Biossensoriais/instrumentação , Técnicas Biossensoriais/métodos , Humanos , Sistemas Automatizados de Assistência Junto ao Leito , Prognóstico , Análise Espectral Raman/instrumentaçãoRESUMO
INTRODUCTION: Genetic (idiopathic) generalized epilepsy (GGE) is a common form of epilepsy characterized by unknown aetiology and a presence of genetic component in its predisposition. METHODS: To understand the genetic factor in a family with GGE, we performed whole exome sequencing (WES) on a trio of a juvenile myoclonic epilepsy/febrile seizure (JME/FS) proband with JME/FS mother and healthy father. Sanger sequencing was carried out for validation of WES results and variant detection in other family members. RESULTS: Predictably damaging variant found in affected proband and mother but absent in healthy father in SCN1A gene was found to be associated with generalized epilepsy and febrile seizure. The novel non-synonymous substitution (c.5753C>T, p.S1918F) in SCN1A was found in all family members with GGE, of which 4/8 were JME subtypes, and/or febrile seizure, while 3 healthy family member controls did not have the mutation. This mutation was also absent in 41 GGE patients and 414 healthy Malaysian Chinese controls. CONCLUSION: The mutation is likely to affect interaction between the sodium channel and calmodulin and subsequently interrupt calmodulin-dependent modulation of the channel.
Assuntos
Epilepsia Generalizada/genética , Epilepsia Mioclônica Juvenil/genética , Canal de Sódio Disparado por Voltagem NAV1.1/genética , Convulsões Febris/genética , Adolescente , Adulto , Idoso , Feminino , Humanos , Malásia , Masculino , Pessoa de Meia-Idade , Mutação , Linhagem , Sequenciamento do ExomaRESUMO
PURPOSE: Ethnic variation in epilepsy classification was reported in the Epilepsy Phenome/Genome Project. This study aimed to determine the ethnic variation in the prevalence of genetic (idiopathic) generalized epilepsy (GGE) and GGE with family history in a multi-ethnic Asian population in Malaysia. METHOD: In this cross-sectional study, 392 patients with a clinical diagnosis of GGE were recruited in the neurology outpatient clinic, University of Malaya Medical Centre (UMMC), from January 2011 till April 2016. RESULTS: In our epilepsy cohort (n=2100), 18.7% were diagnosed to have GGE. Of those, 28.6% >(N=112) had family history of epilepsy with a mean age of seizure onset of 16.5 years old, and 42.0% had myoclonic seizures (N=47). The lifetime prevalence of epilepsy among first-degree relative of those with GGE and positive family history was 15.0%. Analysis according to ethnicity showed that Malaysian Chinese had the lowest percentage of GGE among those with epilepsy (12.3%), as compared with Indian and Malay (25.3% and 21.3%, p<0.001). In addition, 32.1% of these Indian patients with GGE had positive family history, which is more than the Malay (26.4%) and Chinese (27.5%) ethnic groups. Consanguineous marriage was noted in 5 Indian families with positive family history (9.6%). CONCLUSION: There was ethnic variation in the prevalence of GGE, whereby the Malaysian Chinese had the lowest percentage of GGE as compared with Indian and Malay. A substantial proportion of GGE had positive family history among the three ethnics groups.
Assuntos
Povo Asiático/estatística & dados numéricos , Epilepsia Generalizada , Saúde da Família , Adulto , Idade de Início , Estudos Transversais , Eletroencefalografia , Epilepsia Generalizada/epidemiologia , Epilepsia Generalizada/etnologia , Epilepsia Generalizada/genética , Feminino , Humanos , Malásia/epidemiologia , Malásia/etnologia , Masculino , Estudos RetrospectivosRESUMO
BACKGROUND: Nasopharyngeal carcinoma (NPC) is a neoplasm of the epithelial lining of the nasopharynx. Despite various reports linking genomic variants to NPC predisposition, very few reports were done on copy number variations (CNV). CNV is an inherent structural variation that has been found to be involved in cancer predisposition. METHODS: A discovery cohort of Malaysian Chinese descent (NPC patients, n = 140; Healthy controls, n = 256) were genotyped using Illumina® HumanOmniExpress BeadChip. PennCNV and cnvPartition calling algorithms were applied for CNV calling. Taqman CNV assays and digital PCR were used to validate CNV calls and replicate candidate copy number variant region (CNVR) associations in a follow-up Malaysian Chinese (NPC cases, n = 465; and Healthy controls, n = 677) and Malay cohort (NPC cases, n = 114; Healthy controls, n = 124). RESULTS: Six putative CNVRs overlapping GRM5, MICA/HCP5/HCG26, LILRB3/LILRA6, DPY19L2, RNase3/RNase2 and GOLPH3 genes were jointly identified by PennCNV and cnvPartition. CNVs overlapping GRM5 and MICA/HCP5/HCG26 were subjected to further validation by Taqman CNV assays and digital PCR. Combined analysis in Malaysian Chinese cohort revealed a strong association at CNVR on chromosome 11q14.3 (Pcombined = 1.54x10-5; odds ratio (OR) = 7.27; 95% CI = 2.96-17.88) overlapping GRM5 and a suggestive association at CNVR on chromosome 6p21.3 (Pcombined = 1.29x10-3; OR = 4.21; 95% CI = 1.75-10.11) overlapping MICA/HCP5/HCG26 genes. CONCLUSION: Our results demonstrated the association of CNVs towards NPC susceptibility, implicating a possible role of CNVs in NPC development.