weiwei wang1, Yanwei Miao1, JianLin Wu2, and JianLin Wu2
1The First affiliated hospital of Dalian Medical University, Dalian, China, 2Affiliated Zhongshan Hospital of Dalian University, Dalian, China
Synopsis
APTw can reflect the
abnormal changes of brain metabolism in T2DM patients from the molecular level,
providing new imaging evidence for understanding the neuropathological
mechanism of diabetic brain injury
Objective
Amide proton transfer
weighted (APTw) technology was used to analyze the metabolic changes of brain
in patients with T2DM and explore the related factors, so as to provide a new
perspective and scientific basis for the in-depth understanding of the
mechanism of brain metabolic damage in T2DM.Subjects and Methods
A total of 64 subjects were
prospectively collected and divided into T2DM group and control group according
to grouping criteria, including 37 patients in T2DM group and 27 healthy
controls. Within one week before or after the MRI scan, the clinical data,
laboratory indicators and cognitive scores of the subjects were recorded. The
specific items and methods were the same as those in the first part of the
study. All the subjects used Philips Ingenia CX 3.0 T MR for MRI data
acquisition, and the sequence included axial FFE T1 sequence, axial FFE T2
sequence, axial TSE Flair sequence, sagittal 3D T1 TFE sequence and axial 3D
TSE APTw sequence. The APTw values of grey and white matter were analyzed by
SPM 8 software. Independent two sample t
test was used to compare the difference between two groups. Pearson correlation
analysis was used to analyze the correlation between APTw values in brain
regions with significant differences and demographic data, laboratory
indicators and cognitive scores. P <
0.05 was considered statistically significant.Results
Compared with the control
group, APTw of white matter was increased in T2DM group (0.507 ± 0.128, 0.600 ± 0.136, P
= 0.007). No significant difference was showed in APTw of
gray matter between the two groups (1.085 ±
0.154, 1.099 ± 0.113, P = 0.668). The correlation analysis found negative correlation
between APTw of white matter and CVLT accuracy of long time delay selection and
recognition (r = -0.315, P = 0.011) and visual space perception
score (r = -0.298, P = 0.017). No correlation was found
between white matter APTw values and demographic and clinical data (P＞0.05). No correlation was found between APTw values of
grey matter and demographic data, clinical data and cognitive scores (P＞0.05)Conclusion
In this study, APTw
technology was applied for the first time to detect T2DM patients, and only the
increased APTw value was found, suggesting that it was related to the abnormal
changes in the concentration of metabolites in the patients' white matter.
However, there was no significant correlation between white matter APTw value
and demographic data and clinical data. It was also found that increased white
matter APTw was associated with decreased cognitive level in T2DM patients.
Therefore, APTw can reflect the abnormal changes of brain metabolism in T2DM
patients from the molecular level, providing new imaging evidence for
understanding the neuropathological mechanism of diabetic brain injury.Acknowledgements
No acknowledgement found.References
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