Proteomics Clinical Applications
Scope & Guideline
Bridging Laboratory Discoveries and Patient Care
Introduction
Aims and Scopes
- Clinical Biomarker Discovery:
The journal prioritizes research that identifies and validates novel biomarkers for various diseases using proteomic techniques, facilitating early detection and personalized treatment. - Disease Mechanisms and Pathophysiology:
A core focus is on elucidating the molecular mechanisms underlying diseases through proteomic analysis, contributing to a better understanding of disease pathology. - Technological Advancements in Proteomics:
The journal highlights innovative methodologies and technologies in proteomics, such as mass spectrometry, which enhance the analysis and interpretation of complex biological samples. - Integration of Multi-Omics Approaches:
Research that integrates proteomics with other omics data (genomics, metabolomics) is encouraged, providing a comprehensive view of biological systems and disease states. - Clinical Applications and Therapeutic Insights:
Studies that translate proteomic findings into clinical applications, including drug development and therapeutic strategies, are significant for the journal's scope.
Trending and Emerging
- Metabolomic Integration with Proteomics:
Recent publications have increasingly focused on the integration of metabolomics with proteomics to provide a more comprehensive understanding of disease states, particularly in metabolic and degenerative diseases. - Artificial Intelligence and Machine Learning Applications:
There is a growing trend towards utilizing AI and machine learning techniques to analyze proteomic data, enhancing biomarker discovery and improving diagnostic accuracy. - Personalized Medicine and Targeted Therapies:
Research emphasizing the role of proteomics in personalized medicine is on the rise, highlighting the importance of tailored therapeutic approaches based on individual proteomic profiles. - Extracellular Vesicles and Secretomes:
Studies investigating the role of extracellular vesicles and secretomes in disease mechanisms and biomarker discovery are emerging as a prominent theme, reflecting their significance in cell communication and pathology. - Focus on Chronic Diseases and Comorbidities:
There is an increasing emphasis on understanding the proteomic landscape associated with chronic diseases and their comorbidities, such as diabetes, cardiovascular diseases, and cancer, which is essential for developing effective management strategies.
Declining or Waning
- Basic Research in Non-Clinical Settings:
There has been a noticeable decline in papers focusing solely on basic proteomic research not directly linked to clinical applications, as the journal emphasizes translational and applied research. - Single Omics Studies:
Research centered exclusively on proteomics without integrating other omic data has become less common, suggesting a trend towards more holistic approaches in studying diseases. - Proteomics in Non-Human Models:
The focus on animal models and non-human systems is waning, with more studies concentrating on human samples and clinical relevance, reflecting a shift towards human-centric research. - Historical Proteomic Techniques:
Older methodologies that have been replaced by more advanced techniques, such as traditional 2D gel electrophoresis, are seeing reduced representation in the journal, as the field moves towards more sophisticated mass spectrometry-based approaches. - General Proteomic Reviews:
Papers that provide broad overviews of proteomics without specific clinical applications or novel insights have decreased, indicating a preference for original research and detailed case studies.
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