Dementia is a syndrome characterized by symptoms of a chronic or progressive nature. It is used as a general term for loss of memory, language, problem-solving, and other thinking abilities that are part of our daily life. Deterioration of cognitive functions and reduction of the ability to process thoughts is one of the major concerns in dementia patients. Dementia primarily affects memory, thinking, orientation, comprehension, calculation, learning capacity, language, and judgment capacity. Given the importance of these functions, there is an urgent need to overcome this multifactorial problem by decoding its mechanisms. Different omics approaches such as genomics, transcriptomics, miRNAomics, proteomics, and metabolomics have changed the scene of mechanism identification and therapy for different diseases. The application of these strategies to the study of dementia might have important implications in the understanding and treatment of this disorder.
The major focus of this Research Topic is to provide significant research and review papers in the field of omics application in the study of dementia. We aim to explore recent biological, medical, biochemical, and biotechnological advances of multi-omics approaches to solve the mystery of dementia and its mechanisms. We hope to bring scientists from across the world working in the field of neuro-informatics and neurobiology on a common platform.
We welcome contributions covering the following topics:
· Omics technologies such as proteomics, genomics, metabolomics, interactomes, biomics, lipidomics, glycomics, etc. in relation to diagnosis, prevention, and treatment of dementia disorders. Research articles dealing with the identification and depiction of new molecular signatures to overcome this issue.
· Approaches that decode many hidden biochemical pathways and their networks to find disease progression, etiopathogenesis, biomarker identifications, and differential gene expressions.
· Studies that emphasize the use of small non-coding RNAs involved at particular stages of brain-related disorders.
· Papers that involve multi-omics data can reveal a new paradigm towards our vision to integrate our understanding which can sketch a more reliable hypothesis for understanding mechanisms of different neurological disorders where dementia is a major symptom.
Research Topic coordinators: Neha Srivastava and Prekshi Garg.
Dementia is a syndrome characterized by symptoms of a chronic or progressive nature. It is used as a general term for loss of memory, language, problem-solving, and other thinking abilities that are part of our daily life. Deterioration of cognitive functions and reduction of the ability to process thoughts is one of the major concerns in dementia patients. Dementia primarily affects memory, thinking, orientation, comprehension, calculation, learning capacity, language, and judgment capacity. Given the importance of these functions, there is an urgent need to overcome this multifactorial problem by decoding its mechanisms. Different omics approaches such as genomics, transcriptomics, miRNAomics, proteomics, and metabolomics have changed the scene of mechanism identification and therapy for different diseases. The application of these strategies to the study of dementia might have important implications in the understanding and treatment of this disorder.
The major focus of this Research Topic is to provide significant research and review papers in the field of omics application in the study of dementia. We aim to explore recent biological, medical, biochemical, and biotechnological advances of multi-omics approaches to solve the mystery of dementia and its mechanisms. We hope to bring scientists from across the world working in the field of neuro-informatics and neurobiology on a common platform.
We welcome contributions covering the following topics:
· Omics technologies such as proteomics, genomics, metabolomics, interactomes, biomics, lipidomics, glycomics, etc. in relation to diagnosis, prevention, and treatment of dementia disorders. Research articles dealing with the identification and depiction of new molecular signatures to overcome this issue.
· Approaches that decode many hidden biochemical pathways and their networks to find disease progression, etiopathogenesis, biomarker identifications, and differential gene expressions.
· Studies that emphasize the use of small non-coding RNAs involved at particular stages of brain-related disorders.
· Papers that involve multi-omics data can reveal a new paradigm towards our vision to integrate our understanding which can sketch a more reliable hypothesis for understanding mechanisms of different neurological disorders where dementia is a major symptom.
Research Topic coordinators: Neha Srivastava and Prekshi Garg.
