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Updated: Mar 28, 2026

Quantitative Proteomics Workflow using Multiple Reaction Monitoring Based Detection of Proteins from Human Brain Tissue
Published on: August 28, 2021
Quantitative proteomics analysis to identify diffuse axonal injury biomarkers in rats using iTRAQ coupled LC-MS/MS
Peng Zhang1, Shisheng Zhu2, Yongguo Li3
1Department of Forensic Medicine, Faculty of Basic Medical Sciences, Chongqing Medical University, Chongqing 400016, China.
Researchers identified novel protein biomarkers for diffuse axonal injury (DAI), a common traumatic brain injury (TBI) complication. This study utilized iTRAQ proteomics to find potential diagnostic markers for DAI, improving early detection and patient outcomes.
Area of Science:
- Neuroscience
- Biochemistry
- Proteomics
Background:
- Diffuse axonal injury (DAI) is a frequent and severe consequence of traumatic brain injury (TBI), often leading to high mortality rates.
- Current clinical practice faces challenges in early DAI diagnosis, treatment decisions, and prognosis due to undefined injury mechanisms and lack of reliable biomarkers.
Purpose of the Study:
- To identify novel protein biomarkers for early diagnosis of DAI.
- To investigate the pathophysiological mechanisms underlying DAI.
- To evaluate the utility of iTRAQ-based quantitative proteomics in cerebral tissue research.
Main Methods:
- An established animal model of DAI was used.
- Isobaric tag for relative and absolute quantification (iTRAQ) coupled with liquid chromatography-tandem mass spectrometry (LC-MS/MS) was employed for protein identification and quantification.
- Western blot and immunohistochemistry were used for validation of candidate biomarkers.
Main Results:
- A total of 1858 proteins were identified and quantified in rat cerebral tissue.
- Ten candidate proteins were identified as differentially expressed, with four (citrate synthase, synaptosomal-associated protein 25, microtubule-associated protein 1B, and Rho-associated protein kinase 2) validated as potential DAI biomarkers.
- The study demonstrated the feasibility of iTRAQ proteomics for analyzing cerebral tissue.
Conclusions:
- Novel protein biomarkers for DAI were identified, offering potential for improved early diagnosis.
- The findings provide insights into the molecular mechanisms of DAI.
- iTRAQ-based quantitative proteomics is a viable approach for DAI research.
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