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Amide Proton Transfer weighted imaging analysis of cerebral metabolism changes in T2DM patients
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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Proc. Intl. Soc. Mag. Reson. Med. 29 (2021)
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