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DOI 10.3233/jad-221258

Медицинская библиотека · Journal of Alzheimer's disease : JAD · 2023

Metabolic Asymmetry Relates to Clinical Characteristics and Brain Network Abnormalities in Alzheimer's Disease.

Lin Huamei, Pan Tingting, Wang Min, Ge Jingjie, Lu Jiaying, Ju Zizhao, Chen Keliang, Zhang Huiwei, Guan Yihui, Zhao Qianhua, Shan Baoci, Nie Binbin, Zuo Chuantao, Wu Ping

СтатьяПоддержка исследования: вне правительства СШАПеревод в очереди

Аннотация

BACKGROUND

Metabolic asymmetry has been observed in Alzheimer's disease (AD), but different studies have inconsistent viewpoints.

OBJECTIVE

To analyze the asymmetry of cerebral glucose metabolism in AD and investigate its clinical significance and potential metabolic network abnormalities.

METHODS

Standardized uptake value ratios (SUVRs) were obtained from 18F-FDG positron emission tomography (PET) images of all participants, and the asymmetry indices (AIs) were calculated according to the SUVRs. AD group was divided into left/right-dominant or bilateral symmetric hypometabolism (AD-L/AD-R or AD-BI) when more than half of the AIs of the 20 regions of interest (ROIs) were < -2SD, >2SD, or between±1SD. Differences in clinical features among the three AD groups were compared, and the abnormal network characteristics underlying metabolic asymmetry were explored.

RESULTS

In AD group, the proportions of AD-L, AD-R, and AD-BI were 28.4%, 17.9%, and 18.5%, respectively. AD-L/AD-R groups had younger age of onset and faster rate of cognitive decline than AD-BI group (p < 0.05). The absolute values of AIs in half of the 20 ROIs became higher at follow-up than at baseline (p < 0.05). Compared with those in AD-BI group, metabolic connection strength of network, global efficiency, cluster coefficient, degree centrality and local efficiency were lower, but shortest path length was longer in AD-L and AD-R groups (p < 0.05).

CONCLUSION

Asymmetric and symmetric hypometabolism may represent different clinical subtypes of AD, which may provide a clue for future studies on the heterogeneity of AD and help to optimize the design of clinical trials.

Для цитирования: Lin Huamei, Pan Tingting, Wang Min, Ge Jingjie, Lu Jiaying, Ju Zizhao, Chen Keliang, Zhang Huiwei, Guan Yihui, Zhao Qianhua, Shan Baoci, Nie Binbin, Zuo Chuantao, Wu Ping. Metabolic Asymmetry Relates to Clinical Characteristics and Brain Network Abnormalities in Alzheimer's Disease.. Journal of Alzheimer's disease : JAD. 2023. DOI: 10.3233/jad-221258.

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