Aging Effect on Creatine Kinase Enzyme Activity in Resting Human Brain: An In Vivo 31P-MT Study at 7T
Byeong-Yeul Lee1, Xiao-Hong Zhu1, and Wei Chen1

1Center for Magnetic Resonance Research, Radiology, University of Minnesota, Minneapolis, MN, United States

Synopsis

In this work, we investigated the aging effect on the enzyme activity of creatine kinase (CK) in healthy human visual cortex at resting state using a newly developed in vivo 31P magnetization transfer (31P-MT) method at 7T. Our results show that there was a strong aging dependence of the CK enzyme activity in the resting brain, implying a significant decline of brain energy metabolism in elderly people. In vivo 31P-MT technique should provide a valuable tool for clinical research aiming to study aging-related neurodegenerative diseases such as Alzheimer’s disease, and potentially for other metabolic disorders/diseases.

Purpose

To investigate the effect of normal aging process on the neuroenergetics in the human visual cortex under resting state, showing a significantly decline in the creatine kinase enzyme activity in the aging brains.

Introduction

To date, the resting-state functional MRI (rs-fMRI) studies have reported a strong correlation between normal aging and whole-brain functional connectivity change at the resting state, in particular, showing a strong and positive correlation in human visual network [1]. However, the aging effect on the underlying neuroenergetics in the resting-state human brain was not yet fully investigated. With advantages of the increased sensitivity and large chemical shift dispersion provided by ultrahigh field strength, in vivo 31P MRS incorporated with the magnetization transfer (31P-MT) method offers the ability to examine the key bioenergetic reactions catalyzed by the creatine kinase (CK) and ATPase enzymes in the brain [2-4]. Using the 31P-MT method, in this study, we investigated the aging effect on the CK activities in the human visual cortex at 7T.

Methods

Ten young subjects (28.4±6.4 years old (mean±SD), 6 male/4 female) and 4 old subjects (58.5±6.8 years old, 3 female/1 male) participated in this study. All measurements were conducted at 7.0 Tesla/90 cm (Siemens) scanner. The RF probe consists of a butterfly-shape 1H surface coil for anatomic imaging and B0 shimming with FASTMAP [5], and a 5-cm-diameter single-loop 31P coil that is placed over the occipital lobe for collecting 31P-MT data from the human visual cortex (Fig. 1). To maintain the resting state, all subjects were asked to fix their eyes on a fixation point during the 31P-MT measurements. All 31P MR spectra were obtained using single-pulse-acquire sequence (150 FIDs averaging, 2s TR, 5kHz spectral bandwidth, 300 μs hard excitation pulse with an Ernst flip angle of 59°). The B1 insensitive selective train to obliterate signal scheme [6] was applied to saturate the γ-ATP resonance for measuring the MT effects on the PCr resonance. The acquired 31P-MT data were analyzed with AMARES fitting algorithm [7]. After correcting for the T1 saturation factor, absolute concentration of PCr was calibrated using a cerebral ATP concentration of 2.8 mM as an internal reference [8]. Subsequently, the forward reaction rate constant of CK, kf,CK (PCr$$$\rightarrow$$$ATP), was calibrated according to: Mc/Ms ≈ 1 + kf,CK · T1nom where Mc and Ms are control and γ-ATP saturated magnetization and T1nom is the nominal T1 that was estimated in this study based on simulation (Fig. 2) [9]. The relationship between kf,CK and subjects’ age was reported using a Pearson’s correlation coefficient. Finally, two-tailed t-test was used for statistical comparison of kf,CK between young and old group, and a p value of < 0.05 was considered statistically significant.

Results and Discussion

Figure 1 displays typical 31P-MT spectra of human visual cortex acquired with and without γ-ATP saturation, showing excellent spectral quality (with a linewidth of PCr < 10 Hz) and high detection sensitivity, which ensures reliable quantification of the brain intracellular PCr concentration and changes caused by the MT effect. Based on the simulated nominal T1 value of PCr (3.18s), the measured forward rate constant of kf,CK in young age group (0.32±0.02 s-1 (mean±SD)) was in excellent agreement with the previously reported value [10]. Compared with young subjects, old subjects had a significantly lower kf,CK (0.28±0.01 s-1). The results showed a strong negative correlation between the kf,CK and aging (r = -0.753, p < 0.001, Fig.3), leading to a significant group difference (12.7%, p = 0.002). The CK reaction and enzyme activity are tightly coupled with the ATP metabolism and neuroenergetics and play a critical role in transferring ATP energy between mitochondria and cytosol. Hence, the declined CK enzyme activities in the normal aging brains could suggest a decreased CK forward flux or ATP synthesis/utilization rate in the neuron. Since cerebral ATP concentration was assumed to be constant in our study, further investigation is necessary to explore the aging effects on ATP level changes, which will affect the measurement of PCr concentration as well as the CK reaction flux rate. Nevertheless, this uncertainty should not affect the kf,CK measurement and outcomes as reported in this study.

Conclusion

In this work, we are able to demonstrate a strong aging dependence of the CK enzyme activity in the normal human brain at the resting state. This finding provides valuable insights into the aging processing in the perspective of cellular energy metabolism. The decline of the CK enzyme activity, thus, neuroenergetics in aging population may partially explain the rs-fMRI finding of increased BOLD coherence in the visual network [1], suggesting the loss of resting-state connectivity specificity in aging people [11]. This study also demonstrates the utility of in vivo 31P-MT technique for clinical research aiming to investigate aging-related neurodegenerative diseases such as Alzheimer’s disease, as well as potential for other metabolic disorders/diseases.

Acknowledgements

NIH grants of R24 MH106049, RO1 NS070839, S10 RR029672, P41 EB015894 and P30 NS076408

References

[1] Ferreira et al., Cereb. Cortex, DOI: 10.1093/cercor/bhv190 (2015); [2] Lei et al., PNAS, 100:14409-14414 (2003); [3] Du et al., PNAS, 105: 6409-6414 (2008); [4] Zhu et al., Proc. ISMRM, 16:408 (2008); [5] Gruetter et al., MRM; 29:804-811 (1993); [6] de Graaf et al., NMR Biomed., 9:185-194 (1996); [7] Vanhamme et al., JMR, 129:35-43 (1997); [8] Zhu et al., Proc. ISMRM, 17:4287 (2009); [9] Xiong et al., Circ. Res, 108: 653-663 (2011); [10] Du et al., MRM, 57: 103-114 (2007); [11] Liu et al., Brain Topography, 26: 363-377 (2013)

Figures

Figure 1 In vivo 31P spectrum for control and with γ-ATP saturation acquired from the human visual cortex from a representative young (top, blue) and old subject (bottom, red)

Figure 2 Estimation for the nominal T1 values (T1nom, based on the regressed slope) and kf,CK under partial relaxation condition

Figure 3 Linear regression of subjects’ ages with the forward CK reaction constants measured under resting state, showing a strong dependence of the kf,CK on aging (R2 = 0.57).



Proc. Intl. Soc. Mag. Reson. Med. 24 (2016)
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