Training-induced elevations in extracellular lactate in hippocampus and striatum: Dissociations by cognitive strategy and type of reward

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Highlights

  • ECF lactate increases in hippocampus (HC) and striatum (S) during maze learning.

  • Relative increases in lactate during learning varied with reward and strategy.

  • Place training for food reward increased lactate in HC more than in S.

  • Response training for water increased lactate in S more than in HC.

  • Type of reward alters the relative contribution of different memory systems.

Abstract

Recent evidence suggests that astrocytes convert glucose to lactate, which is released from the astrocytes and supports learning and memory. This report takes a multiple memory perspective to test the role of astrocytes in cognition using real-time lactate measurements during learning and memory. Extracellular lactate levels in the hippocampus or striatum were determined with lactate biosensors while rats were learning place (hippocampus-sensitive) or response (striatum-sensitive) versions of T-mazes. In the first experiment, rats were trained on the place and response tasks to locate a food reward. Extracellular lactate levels in the hippocampus increased beyond those of feeding controls during place training but not during response training. However, striatal lactate levels did not increase beyond those of controls when rats were trained on either the place or the response version of the maze. Because food ingestion itself increased blood glucose and brain lactate levels, the contribution of feeding may have confounded the brain lactate measures. Therefore, we conducted a second similar experiment using water as the reward. A very different pattern of lactate responses to training emerged when water was used as the task reward. First, provision of water itself did not result in large increases in either brain or blood lactate levels. Moreover, extracellular lactate levels increased in the striatum during response but not place learning, whereas extracellular lactate levels in the hippocampus did not differ across tasks. The findings from the two experiments suggest that the relative engagement of the hippocampus and striatum dissociates not only by task but also by reward type. The divergent lactate responses of the hippocampus and striatum in place and response tasks under different reward conditions may reflect ethological constraints tied to foraging for food and water.

Introduction

Neuroendocrine responses to an experience can regulate brain processes involved in learning and remembering that experience (Gold, 2014, Gold and Korol, 2014). In particular, release of the hormone epinephrine into blood from the adrenal medulla enhances learning and memory across many tasks and species (Gold, 1995, Gold and Korol, 2012). Although circulating epinephrine does not readily cross the blood-brain barrier to enter the brain (Axelrod, Weil-Malherbe, & Tomchick, 1959), the hormone’s peripheral actions, largely at the liver, increase blood glucose levels. The increase in blood glucose levels is both necessary and sufficient for the enhancement of learning and memory by epinephrine (Gold, 2014, Gold and Korol, 2014). Glucose itself enhances learning and memory when administered by systemic administration or by direct brain injections (Gold, 2001, Gold and Korol, 2012, Korol, 2002, Korol and Gold, 2007, Messier, 2004, Messier et al., 1999, Morris and Gold, 2013, Smith et al., 2011, van der Zwaluw et al., 2015).

Of particular interest here, brain lactate may function downstream from glucose to modulate learning and memory. According to this view, glucose enters astrocytes where it can be converted to lactate, which is subsequently used under conditions of heightened activation such as during cognitive processing (Newman, Korol, & Gold, 2011). Like glucose, direct intrahippocampal injections of lactate enhance working memory (Newman et al., 2011) and memory for inhibitory avoidance training (Suzuki et al., 2011). Interfering with lactate transport into neurons by pharmacological or gene expression manipulations impairs memory and attenuates the ability of lactate or glucose to enhance memory (Newman et al., 2011, Suzuki et al., 2011), suggesting that glucose may enhance memory by conversion to lactate in astrocytes for delivery to neurons.

Past findings indicate that extracellular glucose levels in the hippocampus are diminished by spatial working memory testing (McNay et al., 2000, McNay and Gold, 2001, McNay et al., 2001, Newman et al., 2011), with the magnitude of reduction corresponding to the cognitive load of the task (McNay et al., 2000, McNay et al., 2001). The decrease in extracellular glucose levels in the hippocampus during working memory testing is mirrored by an increase in extracellular lactate levels during testing (Newman et al., 2011). The reciprocal changes in hippocampal extracellular glucose and lactate levels are consistent with the idea that lactate may serve as a supplementary energy substrate to neurons during a time of heightened energy utilization (Brown and Ransom, 2015, Magistretti et al., 1999, Pellerin, 2003, Pellerin and Magistretti, 2012). The use of lactate as an energy source is one of several roles lactate may perform to support cognitive functioning (Fryer & Brown, 2015), such as contributions to astrocytic energy needs, particularly to support glutamate and potassium clearance (Dienel and McKenna, 2014, Sonnewald, 2014), glia-neuronal signaling (Barros, 2013, Bergersen and Gjedde, 2012, Bozzo et al., 2013, Tang et al., 2014), and regulation of neurovascular coupling (Gordon et al., 2008, Lauritzen et al., 2013), that in turn may regulate delivery of energy substrates and nutrients to the brain during demanding tasks.

Extensive evidence indicates that different cognitive attributes are subserved by the activity of multiple memory systems. In particular, place (spatial) and response (habit) learning are particularly sensitive to perturbations of functions in the hippocampus and striatum, respectively (Chang and Gold, 2003a, Chang and Gold, 2004, Gold et al., 2013, Kathirvelu and Colombo, 2013, Korol, 2004, Korol and Pisani, 2015, Packard and Goodman, 2013, Packard and McGaugh, 1992, Poldrack and Packard, 2003, White and McDonald, 2002, White et al., 2013). Support for participation of the hippocampus and striatum in these different cognitive attributes comes from demonstrations of double dissociations of task by brain area using lesions or pharmacological interference (Dagnas et al., 2013, Kosaki et al., 2015, McDonald and White, 1994, Soares et al., 2013), direct injections of glutamate (Packard, 1999), glucose (Canal et al., 2005, Pych et al., 2006, Stefani and Gold, 2001), and estradiol (Korol and Pisani, 2015, Zurkovsky et al., 2007, Zurkovsky et al., 2011) in these brain areas.

Several neurochemical and neurophysiological measures of activity in the hippocampus and striatum also exhibit task-specific differences (Chang and Gold, 2003b, Colombo, 2004, Gold, 2004, McIntyre et al., 2003, Mizumori and Jo, 2013, Pleil et al., 2011, Pych et al., 2005, Rubio et al., 2012). In particular, contrasting the response in the hippocampus, extracellular glucose in the striatum does not decline, and may actually rise, during working memory testing (McNay et al., 2001). Thus, the striatum may have metabolic requirements and responses to experiences that differ from those in the hippocampus. Regional differences in the glucose response to memory testing may also reflect the varying contributions of different brain areas to different types of cognition. These regional differences in physiological responses to experience together with the important role of lactate provisions from astrocytes in modulating hippocampus-sensitive learning and memory (Newman et al., 2011, Suzuki et al., 2011), suggest that, when compared to the hippocampus, the striatum may demonstrate a very different pattern of lactate responses to training on tasks that have selective cognitive attributes.

To test the task and regional specificity of metabolic responses to learning, the present experiments examined fluxes in extracellular lactate levels in the hippocampus and striatum while rats were trained on place and response versions of mazes designed to tap the function of each of these brain regions. The first experiment measured extracellular lactate concentrations in the hippocampus and striatum while rats learned to find food in mazes that rely on those neural systems. Because food intake per se increased lactate levels in the brain, perhaps obscuring training-related changes, we also examined extracellular lactate concentrations in a parallel second experiment in which rats were trained using water as the reward to solve the same mazes. The lactate responses to training in hippocampus and striatum dissociated not only by learning strategy, but, unexpectedly, also by the reward used during training.

Section snippets

Methods

All procedures described in this report were approved by the University of Illinois Urbana-Champaign and the Syracuse University Institutional Animal Care and Use Committees, and were consistent with the Guide for Care and Use of Laboratory Animals. The animal facilities at both universities are accredited by the Association for Assessment and Accreditation of Laboratory Care.

Experiment 1: lactate responses to training for a food reward

Training-related increases in lactate levels differed across learning strategies when evaluated within brain region and differed across brain regions when evaluated within task. The results obtained with probes placed in the hippocampus are shown in Fig. 1, with changes in hippocampal extracellular lactate concentrations over time before and during training in Fig. 1A and the averaged values from 15 to 25 min after the start of training in Fig. 1B. Hippocampal lactate levels increased

General discussion

Using a multiple memory system perspective, these experiments extended tests of the relationships between hippocampal lactate and cognitive functions to both the hippocampus and striatum while rats learned tasks that are solved using either place or response strategies. In the hippocampus of rats trained to find food, there was clear differentiation of the magnitude of increase in lactate during place vs. response training; place learning led to a larger increase in lactate levels than did

Acknowledgments

This work was supported by the National Science Foundation IOS 13-18490; the National Institutes of Health, NIDA DA038798 and NIA P30 AG034464 through the Center on Aging and Policy Studies at Syracuse University.

References (93)

  • D.L. Korol et al.

    Modulation of learning and memory by adrenal and ovarian hormones

  • D.L. Korol et al.

    Estrogens and cognition: Friends or foes? An evaluation of the opposing effects of estrogens on learning and memory

    Hormones and Behavior

    (2015)
  • R. Kurita et al.

    Microfluidic device integrated with pre-reactor and dual enzyme-modified microelectrodes for monitoring in vivo glucose and lactate

    Sensors and Actuators B Chemical

    (2002)
  • K.C. Leong et al.

    Post-training re-exposure to fear conditioned stimuli enhances memory consolidation and biases rats toward the use of dorsolateral striatum-dependent response learning

    Behavioural Brain Research

    (2015)
  • H. Maaswinkel et al.

    Homing with locale, taxon, and dead reckoning strategies by foraging rats: Sensory hierarchy in spatial navigation

    Behavioural Brain Research

    (1999)
  • R.J. McDonald et al.

    Multiple memory systems: The power of interactions

    Neurobiology of Learning and Memory

    (2004)
  • R.J. McDonald et al.

    Parallel information processing in the water maze: Evidence for independent memory systems involving dorsal striatum and hippocampus

    Behavioral and Neural Biology

    (1994)
  • C.K. McIntyre et al.

    Patterns of brain acetylcholine release predict individual differences in preferred learning strategies in rats

    Neurobiology of Learning and Memory

    (2003)
  • E.C. McNay et al.

    Fluctuations in glucose concentration during behavioral testing: Dissociations both between brain areas and between brain and blood

    Neurobiology of Learning and Memory

    (2001)
  • C. Messier

    Glucose improvement of memory: A review

    European Journal of Pharmacology

    (2004)
  • S.J. Mizumori et al.

    Parallel processing across neural systems: Implications for a multiple memory system hypothesis

    Neurobiology of Learning and Memory

    (2004)
  • K.A. Morris et al.

    Epinephrine and glucose modulate training-related CREB phosphorylation in old rats: Relationships to age-related memory impairments

    Experimental Gerontology

    (2013)
  • L. Pellerin

    Lactate as a pivotal element in neuron–glia metabolic cooperation

    Neurochemistry International

    (2003)
  • R.A. Poldrack et al.

    Competition among multiple memory systems: Converging evidence from animal and human brain studies

    Neuropsychologia

    (2003)
  • J.C. Pych et al.

    Effects of injections of glucose into the dorsal striatum on learning of place and response mazes

    Behavioural Brain Research

    (2006)
  • S. Rubio et al.

    Similarities and differences between the brain networks underlying allocentric and egocentric spatial learning in rat revealed by cytochrome oxidase histochemistry

    Neuroscience

    (2012)
  • R.N. Sadowski et al.

    Effects of stress and corticosterone administration on learning in place and response tasks

    Behavioural Brain Research

    (2009)
  • M.A. Smith et al.

    Glucose enhancement of human memory: A comprehensive research review of the glucose memory facilitation effect

    Neuroscience and Biobehavioral Reviews

    (2011)
  • J.C. Soares et al.

    Inactivation of muscarinic receptors impairs place and response learning: Implications for multiple memory systems

    Neuropharmacology

    (2013)
  • A. Suzuki et al.

    Astrocyte-neuron lactate transport is required for long-term memory formation

    Cell

    (2011)
  • N.M. White et al.

    Multiple parallel memory systems in the brain of the rat

    Neurobiology of Learning and Memory

    (2002)
  • J.C. Wingard et al.

    Differential effects of massed and spaced training on place and response learning: A memory systems perspective

    Behavioural Processes

    (2015)
  • L. Zurkovsky et al.

    Estrogen modulates learning in female rats by acting directly at distinct memory systems

    Neuroscience

    (2007)
  • L. Zurkovsky et al.

    Estrogen modulates place learning through estrogen receptors in the hippocampus

    Neurobiology of Learning and Memory

    (2006)
  • L. Zurkovsky et al.

    Intra-striatal estradiol in female rats impairs response learning within two hours of treatment

    Hormones and Behavior

    (2011)
  • J. Axelrod et al.

    The physiological disposition of H3-epinephrine and its metabolite metanephrine

    Journal of Pharmacology and Experimental Therapeutics

    (1959)
  • L.H. Bergersen et al.

    Is lactate a volume transmitter of metabolic states of the brain?

    Frontiers in Neuroenergetics

    (2012)
  • L. Bozzo et al.

    Lactate modulates the activity of primary cortical neurons through a receptor-mediated pathway

    PLoS ONE

    (2013)
  • A.M. Brown et al.

    Astrocyte glycogen as an emergency fuel under conditions of glucose deprivation or intense neural activity

    Metabolic Brain Disease

    (2015)
  • C. Canal et al.

    Glucose injections into the hippocampus or striatum of rats prior to T-maze training: Modulation of learning rates and strategy selection

    Learning and Memory

    (2005)
  • Q. Chang et al.

    Switching memory systems during learning: Changes in patterns of brain acetylcholine release in the hippocampus and striatum in rats

    Journal of Neuroscience

    (2003)
  • Q. Chang et al.

    Inactivation of dorsolateral striatum impairs acquisition of response learning in cue-deficient but not cue-available conditions

    Behavioral Neuroscience

    (2004)
  • J. Chuquet et al.

    Predominant enhancement of glucose uptake in astrocytes versus neurons during activation of the somatosensory cortex

    Journal of Neuroscience

    (2010)
  • M. Dagnas et al.

    HDAC inhibition facilitates the switch between memory systems in young but not aged mice

    Journal of Neuroscience

    (2013)
  • G.A. Dienel

    Brain lactate metabolism: The discoveries and the controversies

    Journal of Cerebral Blood Flow and Metabolism

    (2012)
  • G.A. Dienel et al.

    Aerobic glycolysis during brain activation: Adrenergic regulation and influence of norepinephrine on astrocytic metabolism

    Journal of Neurochemistry

    (2016)
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