Localized 31P magnetization transfer in the rat brain to measure ATP synthesis rate: inorganic phosphate comes in two pools
Brice Tiret1,2, Vincent Lebon1,2, Emmanuel Brouillet1,2, and Julien Valette1,2

1CEA/DSV/I2BM/MIRCen, Fontenay-aux-Roses, France, 2CNRS Université Paris-Saclay UMR 9199, Fontenay-aux-Roses, France

Synopsis

Localized 31P MRS with progressive saturation transfer was performed in the rat brain to estimate the exchange rate between inorganic phosphate (Pi) and adenosine-tri-phosphate (ATP). It was found that two Pi pools, tentatively intra and extracellular pools, can be resolved at 11.7 T, and that only the intracellular Pi signal varies with progressive saturation, while the extracellular Pi signal remains constant. Not resolving this extracellular Pi can cause a significant bias in the estimation of the forward constant rate of ATP synthesis.

Target Audience:

Those interested in 31P MRS and energy metabolism.

Introduction:

We use localized progressive saturation transfer experiments in 31P MRS to probe ATP synthesis rate in the rat brain et 11.7 T. Intra and extracellular inorganic phosphate (Pi) can be resolved due to the difference in pH between both compartments1. Here we describe how not accounting for extracellular Pi can lead to significant bias in forward rate constant estimation.

Methods:

In vivo 31P MRS: Two rats anesthetized with 1.5-2% isoflurane were used for 31P saturation transfer MRS2. All measurements were performed using an 11.7 T Bruker BioSpec using a 1.5-cm double-tuned surface coil (Rapid Biomed GmbH®). Localisation of a large 11×8×12 mm (Fig. 1A) voxel was achieved using an adiabatic ISIS module (TR=8 sec), preceded by selective BISTRO progressive saturation of the γ-ATP peak2.

We quantified Pi peak attenuation relative to an unsaturated spectrum rather than symmetric saturation, because signal loss due to RF bleed-over was minimal (~5%) during selective symmetric saturation, as assessed on preliminary experiments. Seven different saturation times (tsat=0.55, 0.825, 1.1, 1.65, 2.2, 3.3 and 4.4 s) were used for γ-ATP saturation, as well as an unsaturated spectra. Each spectrum was acquired in 17 min, and all measurements were repeated twice for each animal.

Data Analysis: Spectra were analysed with LCModel using a simulated basis-set. Pi signal was fitted as a non-linear function of saturation time according to modified Bloch equations accounting for chemical exchange2.The standard deviation for kf-ATPase in each situation was derived from Monte Carlo simulations over 500 repetitions.

Results and Discussion:

It can be seen on Fig. 1B that the Pi signal is actually composed of two peaks, one larger at 4.9 ppm (corresponding to pH=7.04), and one smaller at 5.3 ppm (corresponding to pH=7.41), representing ~20% of the larger peak. These peaks can be reasonably ascribed to a large intracellular Pi pool at lower pH, and a small extracellular Pi pool at higher pH, as already suggested in muscle3. Incidentally, the extracellular Pi signal relative to total Pi signal is similar to the extracellular volume fraction (~15-20%), suggesting similar Pi concentrations in the extra and intracellular spaces.

The saturation transfer from γ-ATP to Pi due to ATPsynthase is expected to affect only intracellular Pi, not extracellular Pi. Indeed, signal decrease was observed at 4.9 ppm when increasing selective saturation was applied on the γ-ATP resonance, while the signal at 5.3 ppm remained fairly stable within experimental error (See Fig. 2A and 2B), providing further evidence for the assignment of this peak to an extracellular compartment (e.g. rather than an intra-mitochondrial pool4, which should be affected by saturation). Using modified Bloch equations to fit the data (Fig. 2B) we were able to associate signal decrease at 4.9 ppm to a reaction rate of kf-ATPase=0.30±0.03 s-1. When fitting for the sum of both phosphate pools, as would be done in an experiment with lower spectral resolution, the forward rate constant decreases to kf-ATPase=0.25±0.02 s-1, closer to values reported in the literature using the same technique at lower field5,6.

Our results strongly suggest that little to none of the extracellular Pi is in exchange with γ-ATP or intracellular Pi at the time scale of the saturation time. Consequently, when not considering this “inactive” extracellular phosphate, a bias up to ~20% towards lower values can be introduced in the measurement of kf-ATPase. Past works have interpreted the very good agreement between measured ATP synthesis rates and glucose consumption rates as an evidence for the absence of contribution of reversible ATP synthesis by GADPH/PGK at the glycolytic level in the brain2,7 as opposed to the muscle. The fact that ATP synthesis rates measured by 31P may actually be higher than previously reported when considering the total Pi pool, and thus higher than the net ATP synthesis that can be theoretically expected from complete glucose oxidation, suggests that a small contribution of GADPH/PGK to 31P measurement may actually exist in the brain. Further measurements, in particular comparison with glucose consumption and oxidation rates measured in the same voxel, should help to better address this question.

Conclusion:

We demonstrate that, at high spectral resolution, we are able to resolve the pools of inorganic phosphate in both intra and extracellular space in the brain. Furthermore, the intracellular pool of Pi is the only one affected by γ-ATP selective saturation, suggesting minimal Pi exchange between extra and intracellular space, and pointing out towards possible bias in the measurement of ATP synthesis rate when extracellular Pi is not separated from intracellular Pi.

Acknowledgements

This project was funded by the French National Research Agency (ANR-14-CE15-0007, HDeNERGY project).

References

[1] J. H. Fitzpatrick, D. Kintner, M. Anderson, W. M. Westler, S. E. Emoto, and D. D. Gilboe, “NMR studies of Pi-containing extracellular and cytoplasmic compartments in brain.,” J. Neurochem., vol. 66, no. 6, pp. 2612–20, 1996.

[2] H. Lei, K. Ugurbil, and W. Chen, “Measurement of unidirectional Pi to ATP flux in human visual cortex at 7 T by using in vivo 31P magnetic resonance spectroscopy.,” Proc. Natl. Acad. Sci. U. S. A., vol. 100, no. 24, pp. 14409–14, 2003.

[3] C. Wary, T. Naulet, J. L. Thibaud, A. Monnet, S. Blot, and P. G. Carlier, “Splitting of Pi and other 31P NMR anomalies of skeletal muscle metabolites in canine muscular dystrophy,” NMR Biomed., vol. 25, no. January, pp. 1160–1169, 2012.

[4] H. E. Kan, D. W. J. Klomp, C. S. Wong, V. O. Boer, a G. Webb, P. R. Luijten, and J. a Jeneson, “In vivo 31P MRS detection of an alkaline inorganic phosphate pool with short T1 in human resting skeletal muscle.,” NMR Biomed., vol. 23, no. 8, pp. 995–1000, Oct. 2010.

[5] E. A. Shoubridge, R. W. Briggs, and G. K. Radda, “31P NMR saturation transfer measurements of the steady state rates of creatine kinase and ATP synthetase in the rat brain,” FEBS Lett., vol. 140, no. 2, pp. 288–292, Apr. 1982.

[6] F. Du, X.-H. Zhu, Y. Zhang, M. Friedman, N. Zhang, K. Ugurbil, and W. Chen, “Tightly coupled brain activity and cerebral ATP metabolic rate.,” Proc. Natl. Acad. Sci. U. S. A., vol. 105, no. 17, pp. 6409–14, Apr. 2008.

[7] M. M. Chaumeil, J. Valette, M. Guillermier, E. Brouillet, F. Boumezbeur, A.-S. Herard, G. Bloch, P. Hantraye, and V. Lebon, “Multimodal neuroimaging provides a highly consistent picture of energy metabolism, validating 31P MRS for measuring brain ATP synthesis.,” Proc. Natl. Acad. Sci. U. S. A., vol. 106, pp. 3988–3993, 2009.

Figures

Fig. 1 Position of an 11×8×12 mm voxel in the rat brain (A) and a representative spectrum acquired in 17mins (B).

Fig. 2A Effect of γ-ATP saturation on Pi peaks with increasing tsat between 0 and 4.4s

Fig. 2B Modified Bloch equations fit for each of the intracellular (red circles) and total phosphate (blue squares) pools as a function of time. Extracellular Pi was not fitted (orange diamonds). Concentrations were estimated relative to α-ATP concentration, unaffected by progressive saturation and fixed to 2.2 mM.




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