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Multi-omics and high-spatial-resolution omics: deciphering complexity in neurological disorders.

Xiuyun Liu1,2,3, Fangfang Li1, Marek Czosnyka4

  • 1State Key Laboratory of Advanced Medical Materials and Devices, Medical School, Tianjin University, Tianjin, 300072, China.

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|December 5, 2025
PubMed
Summary
This summary is machine-generated.

Advancements in multi- and high-spatial-resolution omics offer new ways to understand neurological diseases. These technologies aid in precision diagnostics, biomarker discovery, and identifying therapeutic targets for brain disorders.

Keywords:
multi-omicsneurological diseasessingle-cell omicsspatial transcriptomics

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Area of Science:

  • Neuroscience
  • Genomics
  • Proteomics
  • Metabolomics

Background:

  • Neurological diseases are increasing globally, presenting complex pathogenesis with disruptions at genomic, transcriptomic, proteomic, and metabolomic levels.
  • These disorders stem from genetic mutations, metabolic imbalances, immune dysregulation, and environmental factors, causing significant public health challenges.
  • High prevalence, mortality, and disability burden underscore the need for advanced research into neurological conditions.

Purpose of the Study:

  • To review advancements in multi- and high-spatial-resolution omics technologies.
  • To focus on applications in precision diagnostics, biomarker discovery, and therapeutic target identification for brain diseases.
  • To discuss challenges and future directions for clinical implementation.

Main Methods:

  • Utilizing high-throughput technologies like next-generation sequencing and mass spectrometry.
  • Employing multi- and high-spatial-resolution omics for biological interaction analysis.
  • Analyzing complex molecular networks and pathophysiological processes in brain diseases.

Main Results:

  • High-throughput omics technologies provide insights into disease mechanisms.
  • Multi- and high-spatial-resolution omics enable analysis of biological interactions and molecular networks.
  • These advancements facilitate understanding of complex pathophysiological processes.

Conclusions:

  • Multi- and high-spatial-resolution omics are crucial for precision diagnostics and biomarker discovery in brain diseases.
  • These technologies aid in identifying novel therapeutic targets.
  • Artificial intelligence is expected to enhance clinical translation and diagnostic accuracy, overcoming current implementation challenges.