Dataset Information

Occupationally Relevant Vibrations and the Brain: Frequency-Dependent Proteomics Signatures in a Rat Model

ABSTRACT: Occupational exposure to whole-body vibration (WBV), particularly in agricultural settings, has been linked to adverse cognitive and physiological outcomes. This study investigates the neurophysiological effects of WBV using a rat model exposed to sinusoidal vibrations at 4 Hz and 30 Hz, frequencies relevant to machinery operation. Forty-four Sprague-Dawley rats were randomly assigned to control (0 Hz), low-frequency (4 Hz), or high-frequency (30 Hz) vibration conditions. Following three days of exposure, brain tissues were harvested and analyzed using mass spectrometry-based proteomics to identify differentially expressed proteins. Proteomics analysis revealed distinct frequency-dependent alterations in brain protein expression. A total of 32 cognition-related proteins were differentially regulated at 4 Hz compared to 0 Hz, 29 at 30 Hz compared to 0 Hz, and 13 between 4 Hz and 30 Hz. Principal component analysis demonstrated clear separation among groups, indicating unique proteomics signatures for each vibration condition. Functional enrichment and protein-protein interaction analyses revealed that differentially expressed proteins were involved in synaptic plasticity, cytoskeletal organization, calcium regulation, and neurotransmitter release. Notably, 4 Hz exposure was associated with upregulation of proteins linked to calcium homeostasis and synaptic integrity, suggesting potential cognitive disruption. In contrast, 30 Hz exposure resulted in the upregulation of proteins associated with axonal guidance and neuroprotection, indicating possible adaptive or beneficial effects. Comparative analysis between 4 Hz and 30 Hz conditions highlighted proteins such as syntaxin-1A and glutamate receptor 2, which may serve as biomarkers for cognitive impairment or resilience. This study provides novel insights into the biological mechanisms underlying WBV-induced cognitive changes and highlights the importance of vibration frequency in determining neurophysiological outcomes. These findings lay the groundwork for future research integrating proteomics with behavioral assessments to better understand the impact of WBV on brain function in both animals and humans.

INSTRUMENT(S):

ORGANISM(S): Rattus Norvegicus (rat)

TISSUE(S): Brain

SUBMITTER: Daniel Chao

LAB HEAD: Dr. George S. Katselis

PROVIDER: PXD069749 | Pride | 2026-06-27

REPOSITORIES: Pride

ACCESS DATA

Dataset's files

Source:

Items per page:

1 - 4 of 4

Similar Datasets

Project description:In this study, we employed a hypothesis-free and data-driven analytical approach to investigate the CSF proteome in 29 patients with SLE. Herein, our aim was to explore the CSF proteome with data-independent acquisition mass spectrometry (DIA-MS) and cluster SLE patients based on their CSF proteomic patterns. In addition, we aimed to investigate the relationship between protein patterns and a comprehensive clinical dataset including demographic variables, medical history, clinical rheumatologic and neurologic disease manifestations, neurocognitive functionality, cerebral MRI and laboratory measurements.The proteomic data was used for sample clustering and clusters were analyzed for clinical dataset variance. Proteins were clustered in modules using Weighted Gene Co-expression Correlation Network Analysis (WGCNA) and modules were biologically characterized and analyzed for correlation to the clinical dataset. Three patient clusters were identified. Cluster 1 was characterized by the highest frequency of nephritis, depression, and cognitive dysfunction. Cluster 2 showed the highest frequency of alopecia and SSA-antibodies, and a low frequency of cognitive impairment. Cluster 3 had a higher frequency of autonomic neuropathy and lupus headache. Six protein modules were identified (M1-M6). The modules were characterized by nervous tissue proteins (M1), CNS lipoproteins (M2), macrophage proteins (M3), plasma proteins (M4), immunoglobulins (M5), and intracellular metabolic proteins (M6). Module 1 and M2 proteins were most abundant in patient cluster 1 and correlated with nephritis, depression and cognitive impairment. Increased abundance of M4 and M5 proteins were most distinct in patient cluster 2 and inversely correlated to cognitive impairment and brain atrophy. We conclude that patients clustered by their CSF proteomic pattern had different disease phenotypes. Nephritis and neuronal damage defined the group with higher levels of neuronal proteins in CSF, which may suggest shared pathogenetic pathways in SLE affecting the kidney and CNS.

			Action	DRS
	DC_MPP_Results.tar	Other
	DC_RawData.zip	Other
	DC_SpectrumMill_Results.zip	Other
	checksum.txt	Txt

Dataset Information

Occupationally Relevant Vibrations and the Brain: Frequency-Dependent Proteomics Signatures in a Rat Model

Dataset's files

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets