Literature DB >> 18056334

L-3-11C-lactate as a PET tracer of myocardial lactate metabolism: a feasibility study.

Pilar Herrero1, Carmen S Dence, Andrew R Coggan, Zulfia Kisrieva-Ware, Paul Eisenbeis, Robert J Gropler.   

Abstract

UNLABELLED: Lactate is a key myocardial energy source. Lactate metabolism is altered in a variety of conditions, such as exercise and diabetes mellitus. However, to our knowledge, noninvasive quantitative measurements of myocardial lactate metabolism have never been performed because of the lack of an adequate radiotracer. In this study we tested L-3-(11)C-lactate ((11)C-lactate) as such a tracer.
METHODS: Twenty-three dogs were studied under a wide range of metabolic interventions. (11)C-Lactate and (13)C-lactate were injected as boluses and PET data were acquired for 1 h. Concomitant arterial and coronary sinus (ART/CS) blood samples were collected to identify (13)C-lactate metabolites and to measure fractional myocardial extraction/production of (11)C metabolite fractions ((11)C acidic: (11)CO(2) and (11)C-lactate; (11)C basic: (11)C-labeled amino acids; and (11)C neutral: (11)C-glucose). Lactate metabolism was quantified using 2 PET approaches: monoexponential clearance analysis (oxidation only) and kinetic modeling of PET (11)C-myocardial curves.
RESULTS: Arterial (11)C acidic, neutral, and basic metabolites were identified as primarily (11)C-labeled lactate + pyruvate, glucose, and alanine, respectively. Despite a significant contribution of (11)C-glucose (23%-45%) and (11)C-alanine (<11%) to total arterial (11)C activity, both were minimally extracted(+)/produced(-) by the heart (1.7% +/- 1.0% and -0.12% +/- 0.84%, respectively). Whereas extraction of (11)C-lactate correlated nonlinearly with that of unlabeled lactate extraction (r = 0.86, P < 0.0001), (11)CO(2) production correlated linearly with extraction of unlabeled lactate (r = 0.89, P < 0.0001, slope = 1.20 +/- 0.13). In studies with physiologic free fatty acids (FFA) (415 +/- 216 nmol/mL), (11)C-lactate was highly extracted (32% +/- 12%) and oxidized (26% +/- 14%), and PET monoexponential clearance and kinetic modeling analyses resulted in accurate estimates of lactate oxidation and metabolism. In contrast, supraphysiologic levels of plasma FFA (4,111 +/- 1,709 nmol/mL) led to poor PET estimates of lactate metabolism due to negligible lactate oxidation (1% +/- 2%) and complete backdiffusion of unmetabolized (11)C-lactate into the vasculature (28% +/- 22%).
CONCLUSION: Under conditions of net lactate extraction, L-3-(11)C-lactate faithfully traces myocardial metabolism of exogenous lactate. Furthermore, in physiologic substrate environments, noninvasive measurements of lactate metabolism are feasible with PET using myocardial clearance analysis (oxidation) or compartmental modeling. Thus, L-3-(11)C-lactate should prove quite useful in widening our understanding of the role that lactate oxidation plays in the heart and other tissues and organs.

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Year:  2007        PMID: 18056334     DOI: 10.2967/jnumed.107.044503

Source DB:  PubMed          Journal:  J Nucl Med        ISSN: 0161-5505            Impact factor:   10.057


  14 in total

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Review 2.  PET and SPECT in cardiovascular molecular imaging.

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Review 4.  Radionuclide imaging of myocardial metabolism.

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Review 5.  Imaging and modeling of myocardial metabolism.

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6.  Measurement of myocardial fatty acid esterification using [1-11C]palmitate and PET: comparison with direct measurements of myocardial triglyceride synthesis.

Authors:  Andrew R Coggan; Zulfia Kisrieva-Ware; Carmen S Dence; Paul Eisenbeis; Robert J Gropler; Pilar Herrero
Journal:  J Nucl Cardiol       Date:  2009-05-29       Impact factor: 5.952

7.  Lactate Metabolism in Human Lung Tumors.

Authors:  Brandon Faubert; Kevin Y Li; Ling Cai; Christopher T Hensley; Jiyeon Kim; Lauren G Zacharias; Chendong Yang; Quyen N Do; Sarah Doucette; Daniel Burguete; Hong Li; Giselle Huet; Qing Yuan; Trevor Wigal; Yasmeen Butt; Min Ni; Jose Torrealba; Dwight Oliver; Robert E Lenkinski; Craig R Malloy; Jason W Wachsmann; Jamey D Young; Kemp Kernstine; Ralph J DeBerardinis
Journal:  Cell       Date:  2017-10-05       Impact factor: 41.582

Review 8.  Translation of myocardial metabolic imaging concepts into the clinics.

Authors:  Adil Bashir; Robert J Gropler
Journal:  Cardiol Clin       Date:  2009-05       Impact factor: 2.213

Review 9.  Metabolic and Molecular Imaging of the Diabetic Cardiomyopathy.

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Journal:  Circ Res       Date:  2020-05-21       Impact factor: 17.367

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Authors:  Kelly M Kennedy; Peter M Scarbrough; Anthony Ribeiro; Rachel Richardson; Hong Yuan; Pierre Sonveaux; Chelsea D Landon; Jen-Tsan Chi; Salvatore Pizzo; Thies Schroeder; Mark W Dewhirst
Journal:  PLoS One       Date:  2013-09-12       Impact factor: 3.240

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