193 research outputs found
From data to insights: machine learning empowers prognostic biomarker prediction in Autism
Autism Spectrum Disorder (ASD) poses significant challenges to society and science due to its impact on communication, social interaction, and repetitive behavior patterns in affected children. The Autism and Developmental Disabilities Monitoring (ADDM) Network continuously monitors ASD prevalence and characteristics. In 2020, ASD prevalence was estimated at 1 in 36 children, with higher rates than previous estimates. This study focuses on ongoing ASD research conducted by Erciyes University. Serum samples from 45 ASD patients and 21 unrelated control participants were analyzed to assess the expression of 372 microRNAs (miRNAs). Six miRNAs (miR-19a-3p, miR-361-5p, miR-3613-3p, miR-150-5p, miR-126-3p, and miR-499a-5p) exhibited significant downreg- ulation in all ASD patients compared to healthy controls. The current study endeavors to identify dependable diagnostic biomarkers for ASD, addressing the pressing need for non-invasive, accurate, and cost-effective diagnostic tools, as current methods are subjective and time-intensive. A pivotal discovery in this study is the potential diagnostic value of miR-126-3p, offering the promise of earlier and more accurate ASD diagnoses, potentially leading to improved intervention outcomes. Leveraging machine learning, such as the K-nearest neighbors (KNN) model, presents a promising avenue for precise ASD diagnosis using miRNA biomarkers
Blood mRNA expression profiles of autophagy, apoptosis, and hypoxia markers on blood cardioplegia and custodiol cardioplegia groups
Introduction: Blood cardioplegia (BC) and Custodiol cardioplegia
(CC) have been used for a long time in open heart surgery and
are highly effective solutions. The most controversial issue among
these two is whether there is any difference between them
regarding myocardial damage after ischemia surgery. In this study,
autophagy, apoptosis, and hypoxia markers were investigated
and that way we evaluated the differences between BC and CC
patients
Comparação de Soluções Cardioplégicas em Cirurgia de Revascularização Miocárdica sobre Mecanismos de Autofagia e Apoptose
Resumo Fundamento A doença arterial coronariana (DAC) devido à isquemia miocárdica causa perda permanente de tecido cardíaco. Objetivos Nosso objetivo foi demonstrar o possível dano ao miocárdio em nível molecular através dos mecanismos de autofagia e apoptose em pacientes submetidos à cirurgia de revascularização miocárdica. Métodos Um grupo recebeu uma solução de cardioplegia Custodiol e o outro grupo uma solução de cardioplegia sanguínea. Duas amostras miocárdicas foram coletadas de cada paciente durante a operação, imediatamente antes da parada cardíaca e após a liberação do pinçamento aórtico. Foram avaliadas as expressões de marcadores de autofagia e apoptose. O nível de significância estatística adotado foi de 5%. Resultados A expressão do gene BECLIN foi significativa nos tecidos miocárdicos do grupo CS (p=0,0078). Os níveis de expressão dos genes CASPASE 3, 8 e 9 foram significativamente menores no grupo CC. Os níveis pós-operatórios de TnT foram significativamente diferentes entre os grupos (p=0,0072). As expressões dos genes CASPASE 8 e CASPASE 9 foram semelhantes antes e depois do pinçamento aórtico (p=0,8552, p=0,8891). No grupo CC, os níveis de expressão gênica de CASPASE 3, CASPASE 8 e CASPASE 9 não foram significativamente diferentes em amostras de tecido coletadas após pinçamento aórtico (p=0,7354, p=0,0758, p=0,4128, respectivamente). Conclusões Com nossos achados, acreditamos que as soluções CC e CS não apresentam diferença significativa em termos de proteção miocárdica durante as operações de by-pass
Heterozygous Cc2d1a mice show sex-dependent changes in the Beclin-1/p62 ratio with impaired prefrontal cortex and hippocampal autophagy
Autism Spectrum Disorders (ASD) are a group of neurodevelopmental disorders characterized by repetitive behaviors, lack of social interaction and communication. CC2D1A is identified in patients as an autism risk gene. Recently, we suggested that heterozygous Cc2d1a mice exhibit impaired autophagy in the hippocampus. We now report the analysis of autophagy markers (Lc3, Beclin and p62) in different regions hippocampus, prefrontal cortex, hypothalamus and cerebellum, with an overall decrease in autophagy and changes in Beclin-1/p62 ratio in the hippocampus. We observed sex-dependent variations in transcripts and protein expression levels. Moreover, our analyses suggest that alterations in autophagy initiated in Cc2d1a heterozygous parents are variably transmitted to offspring, even when the offspring's genotype is wild type. Aberration in the autophagy mechanism may indirectly contribute to induce synapse alteration in the ASD brain
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