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3篇 您的检索式:作者名="Sameehan Mahajani"
    题名 作者 年代 出处 被引量
1From cradle to grave: neurogenesis, neuroregeneration and neurodegeneration in Alzheimer’s and Parkinson’s diseases显示文摘Two of the most common neurodegenerative disorders-Alzheimer’s and Parkinson’s diseases-are characterized by synaptic dysfunction and degeneration that culminate in neuronal loss due to abnormal protein accumulation.The intracellular aggregation of hyper-phosphorylated tau and the extracellular aggregation of amyloid beta plaques form the basis of Alzheimer’s disease pathology.The major hallmark of Parkinson’s disease is the loss of dopaminergic neurons in the substantia nigra pars compacta,following the formation of Lewy bodies,which consists primarily of alpha-synuclein aggregates.However,the discrete mechanisms that contribute to neurodegeneration in these disorders are still poorly understood.Both neuronal loss and impaired adult neurogenesis have been reported in animal models of these disorders.Yet these findings remain subject to frequent debate due to a lack of conclusive evidence in post mortem brain tissue from human patients.While some publications provide significant findings related to axonal regeneration in Alzheimer’s and Parkinson’s diseases,they also highlight the limitations and obstacles to the development of neuroregenerative therapies.In this review,we summarize in vitro and in vivo findings related to neurogenesis,neuroregeneration and neurodegeneration in the context of Alzheimer’s and Parkinson’s diseases.Debia Wakhloo Jane Oberhauser Angela Madira Sameehan Mahajani 2022Neural Regeneration Research2022,17,12:2
2Patterning inconsistencies restrict the true potential of dopaminergic neurons derived from human induced pluripotent stem cells显示文摘Human induced pluripotent stem cells(hiPSCs)are multipotent stem cells genetically reprogrammed using transcription factors,such as Sox2,c-Myc,Oct3/4 and Klf4(Takahashi and Yamanaka,2006)from fibroblasts,derived from either patient or control individuals.These factors are highly expressed in embryonic stem cells,and their overexpression can induce pluripotency in human somatic cells such as fibroblasts.Upon the generation of hiPSCs after reprogramming,these cells can be further differentiated into multiple neuronal cell types by using a strictly designed protocol.This process is known as patterning.Correct use of these hiPSCs derived neurons holds immense potential for researchers to uncover the underpinnings of disease pathophysiology and therefore is considered as a powerful tool.Sameehan Mahajani Mathias Bähr Sebastian Kügler 2021Neural Regeneration Research2021,16,4:1
3Decoding degeneration:the implementation of machine learning for clinical detection of neurodegenerative disorders显示文摘Machine learning represents a growing subfield of artificial intelligence with much promise in the diagnosis,treatment,and tracking of complex conditions,including neurodegenerative disorders such as Alzheimer’s and Parkinson’s diseases.While no definitive methods of diagnosis or treatment exist for either disease,researchers have implemented machine learning algorithms with neuroimaging and motion-tracking technology to analyze pathologically relevant symptoms and biomarkers.Deep learning algorithms such as neural networks and complex combined architectures have proven capable of tracking disease-linked changes in brain structure and physiology as well as patient motor and cognitive symptoms and responses to treatment.However,such techniques require further development aimed at improving transparency,adaptability,and reproducibility.In this review,we provide an overview of existing neuroimaging technologies and supervised and unsupervised machine learning techniques with their current applications in the context of Alzheimer’s and Parkinson’s diseases.Fariha Khaliq Jane Oberhauser Debia Wakhloo Sameehan Mahajani 2023Neural Regeneration Research2023,18,6:0
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