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Metabolites
  • Review
  • Open Access

29 November 2021

Effect of Exercise on Brain Health: The Potential Role of Lactate as a Myokine

,
,
and
1
Faculty of Sport and Health Science, Ritsumeikan University, Osaka 525-8577, Japan
2
Graduate School of Informatics and Engineering, The University of Electro-Communications, Tokyo 182-8585, Japan
3
Department of Biomedical Engineering, Toyo University, Saitama 350-8585, Japan
*
Author to whom correspondence should be addressed.
This article belongs to the Special Issue Hemorheology and Metabolism

Abstract

It has been well established in epidemiological studies and randomized controlled trials that habitual exercise is beneficial for brain health, such as cognition and mental health. Generally, it may be reasonable to say that the physiological benefits of acute exercise can prevent brain disorders in late life if such exercise is habitually/chronically conducted. However, the mechanisms of improvement in brain function via chronic exercise remain incompletely understood because such mechanisms are assumed to be multifactorial, such as the adaptation of repeated acute exercise. This review postulates that cerebral metabolism may be an important physiological factor that determines brain function. Among metabolites, the provision of lactate to meet elevated neural activity and regulate the cerebrovascular system and redox states in response to exercise may be responsible for exercise-enhanced brain health. Here, we summarize the current knowledge regarding the influence of exercise on brain health, particularly cognitive performance, with the underlying mechanisms by means of lactate. Regarding the influence of chronic exercise on brain function, the relevance of exercise intensity and modality, particularly high-intensity interval exercise, is acknowledged to induce “metabolic myokine” (i.e., lactate) for brain health.

1. Introduction

It has been well established that habitual exercise is beneficial for the cognition and brain health of most individuals, including older adults [1,2]. This view is not surprising because it is said that “exercise is the real polypill” based on organ-induced peripheral factors [3]. In general, it has been considered that the effects of habitual exercise on the human body are the result of repeated exercise and thus may be associated with cumulative acute responses to exercise.
Similarly, it may be reasonable to say that acute exercise favorable for improving brain function, although this is a transient response, is also beneficial for brain health with continuous repetition via chronic exercise training. However, the mechanisms of chronic exercise-improved brain function, especially how the effect of acute exercise on brain function determines that of chronic exercise, remain incompletely unknown. For instance, chronic exercise effects can be modified using the same acute exercise by changing exercise strength, duration, and frequency. Hence, the proper exercise prescription for chronic brain health may be difficult to build from results on the effect of acute exercise on brain function. Nonetheless, it is important to explore and organize the underlying mechanisms of acute exercise for brain health to provide insight into proper exercise prescriptions.
Among the acute responses to exercise, a growing body of evidence is accumulating to suggest that the myokine (i.e., muscle-induced peripheral factors) cathepsin B and irisin pass through the blood–brain barrier to enhance brain-derived neurotrophic factor (BDNF) production and hence improve neurogenesis, memory, and learning [4]. On the other hand, lactate, as an exercise-induced myokine favorable to the brain, was not investigated to identify the mechanism of exercise-induced improvement in brain function, although the production of lactate has been widely used as a biomarker to reflect exercise mode, strength, and duration [5,6,7,8].
In this minireview, we summarized the possibility of lactate as one of the underlying mechanisms linking brain health outcomes, particularly cognitive performance and mental health, to exercise regimens.

2. Exercise Intensity and Modality for Brain Health Regarding Chronic Exercise Adaptation (Implication of Lactate)

To promote and maintain health, the American College of Sports Medicine (ACSM) and American Heart Association (AHA) recommends that healthy adults aged 18–65 years perform sufficient volumes of exercise, such as moderate-intensity exercise for at least 30 min for 5 days/week or vigorous-intensity exercise for 20 min for 3 days/week [9]. Importantly, compared to habitual lower-intensity exercise, higher-intensity exercise can effectively improve cardiovascular and metabolic health [10,11,12]. In particular, long-term/chronic high-intensity interval exercise (HIIE) training (i.e., HIIT) is more effective than long-term/chronic moderate-intensity continuous exercise (MCE) because it increases exercise capacity in addition to cardiovascular and metabolic health in healthy individuals [13,14,15]. The effectiveness of HIIT over MCE training is also relevant for brain health. Recently, Mekari et al. demonstrated that HIIT was more effective for the improvement of executive function (EF) than MCE training in young adults [16]. A recent meta-analysis indicated that HIIT might be more effective for improving severe mental illness (e.g., cognition, negative and positive symptoms of schizophrenia, and depressive mood) than moderate-intensity exercise [17]. Given that HIIE produces more lactate than general exercise modalities, such as MCE, some beneficial effects of lactate on health, including brain health, can be implicated. For instance, based on the notion that acute exercise that is favorable for improving brain function is also beneficial for brain health with continuous repetition via chronic exercise training, our previous study demonstrated that HIIE could improve EF rather than MCE and was accompanied by more lactate production (Figure 1) [7], which may imply a potential benefit of lactate on increased cognitive performance by HIIE and subsequent HIIT.
Figure 1. Impact of exercise intensity, duration, and modality on acute enhancement of executive function. The graph is illustrated by the authors based on previous studies [7,8,18]. HIIE could improve EF rather than volume-matched (i.e., same workload) MCE with more lactate production during postexercise recovery period [7]. * p < 0.05 vs. MCE.

4. Can Acute Alterations in CBF to Exercise Affect Cognitive Performance?

As mentioned above, it is expected that maintaining brain function requires adequate CBF regulation as an important physiological factor. However, no study has examined whether alterations in CBF directly modify cognitive performance because CBF cannot be isolated from the many physiological factors that affect cognitive performance in patients with cerebral disease, vascular disease, or dementia, as well as in healthy older adults.
Basically, augmented cerebral metabolism or cerebral neural activity [37,38,39] are accompanied by transient increases in CBF [40,41,42] as well as cognitive performance [43,44] during and/or following mild- to moderate-intensity aerobic exercise. In contrast, similar to the decrease in CBF associated with hyperventilation during prolonged or heavy aerobic exercise [41], the exercise-induced facilitation of cognitive performance disappears during such prolonged exercise [45]. From this background, we previously examined for the first time whether manipulation of CBF alteration affects cognitive performance in young, healthy participants [46]. In contrast to our hypothesis, however, cognitive performance improved in response to the decrease in CBF during prolonged heavy exercise, and unexpectedly, an isolated change (i.e., hypercapnia-induced increase) in CBF did not affect cognitive performance at rest or during exercise [46]. Furthermore, several studies reported that increases in CBF during exercise were not directly related to changes in cognitive performance [47,48]. These findings suggest that acute exercise-induced cognitive improvement may not have the same narrative as that of chronic exercise in terms of the cerebrovascular system; thus, it is not simply due to an increase in global CBF, implying that another factor modified by exercise, rather than a change in CBF, affects cognitive performance.

5. Cerebral Lactate Metabolism and Cognitive Performance

A decrease in cerebral oxygenation is induced by prolonged exercise [46,49] or exercise under mild or severe hypoxia [50,51], while impaired cognitive performance is not evident in healthy young participants, suggesting a dissociation between an alteration in CBF and subsequent change in oxygen delivery to the brain and cerebral metabolism or cognitive performance. Indeed, albeit with a reduction in CBF during heavy exercise, the elevation of brain neural activity and metabolism might be accompanied by compensatory increases in the uptake of lactate, glucose, and oxygen support for the brain (arterial-jugular venous difference) [37]. Given that augmented brain neural activity and metabolism are independent of increases in CBF [52], extensive activation of motor and sensory systems due to the higher-order function of the prefrontal cortex may affect cognitive performance rather than cerebral perfusion in response to exercise.
Regarding metabolism, although the brain relies mainly on glucose at rest, during high-intensity exercise, the brain becomes dependent on lactate delivery [53,54] and repeated HIIE, which attenuates the increase in systemic blood lactate, resulting in impaired maintenance of HIIE-enhanced cognitive performance (i.e., EF) [18]. In particular, HIIE may facilitate neuronal activation and excitation levels to the extent that summation is facilitated to improve cognitive performance [7,55,56]. Neuronal activation is associated with an increase in energy requirements due to the transport of neurotransmitters and ions [57], and neurons preferentially utilize lactate as a fuel in vivo [58]. Sustained elevation of arterial/systemic lactate in response to intense exercise promotes the supply of lactate as an energy substrate to meet acute neuronal energy requirements [59,60,61]. In addition, intravenous infusion of 100 mM L-lactate into rats promoted cognitive recovery by preserving cerebral ATP generation following traumatic brain injury [62]. Furthermore, Skriver et al. found a correlation between systemic lactate concentration and the acquisition and retention of motor skills [63]. In addition, lactate supports synaptic activity [64], long-term potentiation and memory formation [65], and neuronal plasticity [66]. These findings suggest that brain function as expressed by cognitive performance depends on the provision of lactate. Indeed, we manipulated blood lactate during exercise at a given intensity by repeated HIIE and evaluated whether such manipulation of peripheral lactate metabolism affects brain lactate uptake (i.e., the arterial–jugular venous difference in lactate (a-v difflactate)) and EF [67]. We found that brain lactate uptake is associated with the arterial lactate concentration, and inadequate lactate provision to the brain might attenuate exercise (i.e., HIIE)-enhanced EF [67], irrespective of increased BDNF and catecholamine, both of which are supposed to relate to cognitive performance [56,68,69] (Figure 2). Given the reliance on lactate as a fuel for the brain, variations in blood lactate could affect cognitive performance during and after exercise and account for the significance of exercise (i.e., muscle contraction) for brain function.
Figure 2. Relationship between a-v difflactate and Δinterference score (i.e., executive function) during postexercise recovery. The open circles indicate the average of each time point during the post-first bout of HIIE recovery, and the solid circles indicate the average of each time point during the post-second bout of HIIE recovery in which a lower systemic lactate concentration is observed. This result suggests that brain lactate uptake is associated with better executive function. Values are the means ± SEM. Modified/adopted from Hashimoto et al. [67].
On the other hand, a recent study demonstrated that chronic lactate administration to mice promotes hippocampal neurogenesis but does not affect cognitive performance [70]. In addition, Sudo et al. found that recovery of prefrontal oxygenation affected cognitive performance after exhaustive exercise, irrespective of the blood lactate concentration [71]. Further studies are warranted to understand the role of lactate in brain function in acute and chronic exercise.

7. Can Cerebral Blood Flow Regulation That Determines Brain Function Be Modified by Lactate?

Biochemical regulation of the cerebrovascular system by lactate is also evident in an acute setting. Gordon et al. demonstrated in rat brain slices that low oxygen levels facilitated lactate; hence, prostaglandin E2 (PGE2) elicited vasodilation [88]. In humans, the CBF response to physiological activation induced by visual stimulation was increased with lactate injection and plasma lactate/pyruvate ratio and subsequently augmented the NADH/NAD+ ratio [89]. This increase in lactate/pyruvate and NADH/NAD+ ratios may be related to the increase in CBF, probably through nitric oxide (NO) production [90]. In a clinical setting, hypertonic lactate injection increased cerebral perfusion and brain glucose availability and decreased the pulsatility index after acute brain injury [91]. In addition, the brain-injured person is hypermetabolic, and lactate has a pivotal role in supplying energy to bypass the restriction in glycolytic flux and spare limited glucose reserves for other cerebral metabolisms (e.g., pentose phosphate pathway for neuroprotection) (see [92]). Indeed, acute lactate infusion into mild traumatic brain injury patients improved their cognitive function as evaluated by the Mini Mental State Examination (MMSE), with several possible mechanisms, such as the energy substrate effect, the prevention of hyperchloremia, and the reduction in brain cell edema, by restoring impaired brain homeostasis and synapse function after brain injury [93].

8. Therapeutic Example of Exercise Modification to Consider the Interaction of Lactate

Given that resistance exercise is associated with several health benefits, such as a reduced risk for sarcopenia, osteoporosis, and metabolic dysfunction [94], this type of exercise is also attractive for improving quality of life. We found that an acute bout of localized resistance exercise could enhance cognitive performance immediately after exercise in a dose-dependent manner [95], whereby generally, high-intensity resistance exercise produces more lactate. Recently, we also found that resistance exercise with slow movement and tonic force generation improved EF more effectively than normal velocity movement exercise, accompanied by a considerable amount of lactate production even though the exercise intensity was low [96]. Interestingly, despite the application of a lower exercise load, resistance exercise with slow movement and tonic force generation improved postexercise EF similarly to high-intensity resistance exercise, which may be due to the equivalent blood lactate response between the two protocols in healthy young adults [97]. Therefore, it may be relevant to focus on exercise-induced lactate to predict the proper chronic exercise prescription for brain health.

9. Summary and Future Perspective

The potential mechanisms underlying the favorable effects of habitual exercise/physical activity on brain function are assumed to be multidimensional. In particular, structural alterations of the brain, such as increased neurogenesis, synaptogenesis, angiogenesis, and brain volume, might be characteristics of chronic exercise benefits because they cannot be achieved with only a single bout of acute exercise, although the cumulative effects of acute exercise-induced physiological stress are needed. It may be reasonable to say that acute exercise, if it is favorable for improvement of brain function, although it is a transient response, is also beneficial for brain health, including cognitive performance, with its continuous repetition via chronic exercise training. In this regard, it may be useful to understand the impact and mechanisms behind the favorable effects of acute exercise on brain function to develop a proper exercise prescription for brain health. Although such mechanisms are assumed to be multifactorial, cerebral metabolism may be an important physiological factor that determines brain function. Among metabolites, the provision of lactate to meet elevated neural activity and to regulate the cerebrovascular system and redox states in response to exercise may be responsible for exercise-enhanced brain health (Figure 3).
For this connection, the regulation of peripheral and cerebral lactate metabolism through exercise may be important for brain function. Furthermore, exercise intensity, duration, and modality also affect brain function possibly through the “metabolic myokine” (i.e., lactate). Particularly, HIIE might be practically relevant for brain health. Nonetheless, population (i.e., young and old) and gender (i.e., male and female) differences must be considered in future studies.

Funding

This research was funded by Grant-in-Aid for Scientific Research from the Japanese Ministry of Education, Culture, Sports, Science, and Technology (to T.H.), grant numbers #21H03384 and #20K21774.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Gomez-Pinilla, F.; Hillman, C. The influence of exercise on cognitive abilities. Compr. Physiol. 2013, 3, 403–428. [Google Scholar] [CrossRef] [Green Version]
  2. Mandolesi, L.; Polverino, A.; Montuori, S.; Foti, F.; Ferraioli, G.; Sorrentino, P.; Sorrentino, G. Effects of Physical Exercise on Cognitive Functioning and Wellbeing: Biological and Psychological Benefits. Front. Psychol. 2018, 9, 509. [Google Scholar] [CrossRef]
  3. Fiuza-Luces, C.; Garatachea, N.; Berger, N.A.; Lucia, A. Exercise is the real polypill. Physiology 2013, 28, 330–358. [Google Scholar] [CrossRef] [Green Version]
  4. Pedersen, B.K. Physical activity and muscle-brain crosstalk. Nat. Rev. Endocrinol. 2019, 15, 383–392. [Google Scholar] [CrossRef]
  5. Goodwin, M.L.; Harris, J.E.; Hernández, A.; Gladden, L.B. Blood lactate measurements and analysis during exercise: A guide for clinicians. J. Diabetes Sci. Technol. 2007, 1, 558–569. [Google Scholar] [CrossRef] [Green Version]
  6. Krustrup, P.; Mohr, M.; Steensberg, A.; Bencke, J.; Kjaer, M.; Bangsbo, J. Muscle and blood metabolites during a soccer game: Implications for sprint performance. Med. Sci. Sports Exerc. 2006, 38, 1165–1174. [Google Scholar] [CrossRef]
  7. Tsukamoto, H.; Suga, T.; Takenaka, S.; Tanaka, D.; Takeuchi, T.; Hamaoka, T.; Isaka, T.; Hashimoto, T. Greater impact of acute high-intensity interval exercise on post-exercise executive function compared to moderate-intensity continuous exercise. Physiol. Behav. 2016, 155, 224–230. [Google Scholar] [CrossRef]
  8. Tsukamoto, H.; Takenaka, S.; Suga, T.; Tanaka, D.; Takeuchi, T.; Hamaoka, T.; Isaka, T.; Hashimoto, T. Impact of Exercise Intensity and Duration on Postexercise Executive Function. Med. Sci. Sports Exerc. 2016, 49, 774–784, Erratum in 2017, 49, 774–784. [Google Scholar] [CrossRef]
  9. Haskell, W.L.; Lee, I.M.; Pate, R.R.; Powell, K.E.; Blair, S.N.; Franklin, B.A.; Macera, C.A.; Heath, G.W.; Thompson, P.D.; Bauman, A. Physical activity and public health: Updated recommendation for adults from the American College of Sports Medicine and the American Heart Association. Med. Sci. Sports Exerc. 2007, 39, 1423–1434. [Google Scholar] [CrossRef] [Green Version]
  10. ACSM. American College of Sports Medicine Position Stand. The recommended quantity and quality of exercise for developing and maintaining cardiorespiratory and muscular fitness, and flexibility in healthy adults. Med. Sci. Sports Exerc. 1998, 30, 975–991. [Google Scholar]
  11. Gormley, S.E.; Swain, D.P.; High, R.; Spina, R.J.; Dowling, E.A.; Kotipalli, U.S.; Gandrakota, R. Effect of intensity of aerobic training on VO2max. Med. Sci. Sports Exerc. 2008, 40, 1336–1343. [Google Scholar] [CrossRef]
  12. Swain, D.P.; Franklin, B.A. Comparison of cardioprotective benefits of vigorous versus moderate intensity aerobic exercise. Am. J. Cardiol. 2006, 97, 141–147. [Google Scholar] [CrossRef]
  13. Helgerud, J.; Hoydal, K.; Wang, E.; Karlsen, T.; Berg, P.; Bjerkaas, M.; Simonsen, T.; Helgesen, C.; Hjorth, N.; Bach, R.; et al. Aerobic high-intensity intervals improve VO2max more than moderate training. Med. Sci. Sports Exerc. 2007, 39, 665–671. [Google Scholar] [CrossRef] [Green Version]
  14. Hood, M.S.; Little, J.P.; Tarnopolsky, M.A.; Myslik, F.; Gibala, M.J. Low-volume interval training improves muscle oxidative capacity in sedentary adults. Med. Sci. Sports Exerc. 2011, 43, 1849–1856. [Google Scholar] [CrossRef]
  15. Talanian, J.L.; Galloway, S.D.; Heigenhauser, G.J.; Bonen, A.; Spriet, L.L. Two weeks of high-intensity aerobic interval training increases the capacity for fat oxidation during exercise in women. J. Appl. Physiol. (1985) 2007, 102, 1439–1447. [Google Scholar] [CrossRef]
  16. Mekari, S.; Earle, M.; Martins, R.; Drisdelle, S.; Killen, M.; Bouffard-Levasseur, V.; Dupuy, O. Effect of High Intensity Interval Training Compared to Continuous Training on Cognitive Performance in Young Healthy Adults: A Pilot Study. Brain Sci. 2020, 10, 81. [Google Scholar] [CrossRef] [Green Version]
  17. Korman, N.; Armour, M.; Chapman, J.; Rosenbaum, S.; Kisely, S.; Suetani, S.; Firth, J.; Siskind, D. High Intensity Interval training (HIIT) for people with severe mental illness: A systematic review & meta-analysis of intervention studies- considering diverse approaches for mental and physical recovery. Psychiatry Res. 2020, 284, 112601. [Google Scholar] [CrossRef]
  18. Tsukamoto, H.; Suga, T.; Takenaka, S.; Tanaka, D.; Takeuchi, T.; Hamaoka, T.; Isaka, T.; Ogoh, S.; Pilatus, U.; Hashimoto, T. Repeated high-intensity interval exercise shortens the positive effect on executive function during post-exercise recovery in healthy young males. Physiol. Behav. 2016, 160. [Google Scholar] [CrossRef] [Green Version]
  19. Matura, S.; Fleckenstein, J.; Deichmann, R.; Engeroff, T.; Fuzeki, E.; Hattingen, E.; Hellweg, R.; Lienerth, B.; Pilatus, U.; Schwarz, S.; et al. Effects of aerobic exercise on brain metabolism and grey matter volume in older adults: Results of the randomised controlled SMART trial. Transl. Psychiatry 2017, 7, e1172. [Google Scholar] [CrossRef] [Green Version]
  20. Tyndall, A.V.; Clark, C.M.; Anderson, T.J.; Hogan, D.B.; Hill, M.D.; Longman, R.S.; Poulin, M.J. Protective Effects of Exercise on Cognition and Brain Health in Older Adults. Exerc. Sport Sci. Rev. 2018, 46, 215–223. [Google Scholar] [CrossRef]
  21. Kandola, A.; Hendrikse, J.; Lucassen, P.J.; Yücel, M. Aerobic Exercise as a Tool to Improve Hippocampal Plasticity and Function in Humans: Practical Implications for Mental Health Treatment. Front. Hum. Neurosci. 2016, 10, 373. [Google Scholar] [CrossRef]
  22. Pajonk, F.G.; Wobrock, T.; Gruber, O.; Scherk, H.; Berner, D.; Kaizl, I.; Kierer, A.; Müller, S.; Oest, M.; Meyer, T.; et al. Hippocampal plasticity in response to exercise in schizophrenia. Arch. Gen. Psychiatry 2010, 67, 133–143. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  23. Tarumi, T.; Zhang, R. The Role of Exercise-Induced Cardiovascular Adaptation in Brain Health. Exerc. Sport Sci. Rev. 2015, 43, 181–189. [Google Scholar] [CrossRef]
  24. Erickson, K.I.; Voss, M.W.; Prakash, R.S.; Basak, C.; Szabo, A.; Chaddock, L.; Kim, J.S.; Heo, S.; Alves, H.; White, S.M.; et al. Exercise training increases size of hippocampus and improves memory. Proc. Natl. Acad. Sci. USA 2011, 108, 3017–3022. [Google Scholar] [CrossRef] [Green Version]
  25. Jonasson, L.S.; Nyberg, L.; Kramer, A.F.; Lundquist, A.; Riklund, K.; Boraxbekk, C.J. Aerobic Exercise Intervention, Cognitive Performance, and Brain Structure: Results from the Physical Influences on Brain in Aging (PHIBRA) Study. Front. Aging Neurosci. 2016, 8, 336. [Google Scholar] [CrossRef]
  26. Ellison-Wright, I.; Bullmore, E. Anatomy of bipolar disorder and schizophrenia: A meta-analysis. Schizophr. Res. 2010, 117, 1–12. [Google Scholar] [CrossRef]
  27. Schmaal, L.S.; Veltman, D.J.; van Erp, T.G.; Sämann, P.G.; Frodl, T.; Jahanshad, N.; Loehrer, E.; Tiemeier, H.; Hofman, A.; Niessen, W.J.; et al. Subcortical brain alterations in major depressive disorder: Findings from the ENIGMA Major Depressive Disorder working group. Mol. Psychiatry 2016, 21, 806–812. [Google Scholar] [CrossRef]
  28. Besteher, B.; Gaser, C.; Nenadić, I. Brain Structure and Subclinical Symptoms: A Dimensional Perspective of Psychopathology in the Depression and Anxiety Spectrum. Neuropsychobiology 2020, 79, 270–283. [Google Scholar] [CrossRef]
  29. Ogoh, S. Relationship between cognitive function and regulation of cerebral blood flow. J. Physiol. Sci. JPS 2017, 67, 345–351. [Google Scholar] [CrossRef]
  30. Iadecola, C. Neurovascular regulation in the normal brain and in Alzheimer’s disease. Nat. Rev. Neurosci. 2004, 5, 347–360. [Google Scholar] [CrossRef]
  31. Rother, J.; Knab, R.; Hamzei, F.; Fiehler, J.; Reichenbach, J.R.; Buchel, C.; Weiller, C. Negative dip in BOLD fMRI is caused by blood flow--oxygen consumption uncoupling in humans. NeuroImage 2002, 15, 98–102. [Google Scholar] [CrossRef] [Green Version]
  32. Hock, C.; Villringer, K.; Muller-Spahn, F.; Wenzel, R.; Heekeren, H.; Schuh-Hofer, S.; Hofmann, M.; Minoshima, S.; Schwaiger, M.; Dirnagl, U.; et al. Decrease in parietal cerebral hemoglobin oxygenation during performance of a verbal fluency task in patients with Alzheimer’s disease monitored by means of near-infrared spectroscopy (NIRS)--correlation with simultaneous rCBF-PET measurements. Brain Res 1997, 755, 293–303. [Google Scholar] [CrossRef]
  33. Kisler, K.; Nelson, A.R.; Montagne, A.; Zlokovic, B.V. Cerebral blood flow regulation and neurovascular dysfunction in Alzheimer disease. Nat. Rev. Neurosci. 2017, 18, 419–434. [Google Scholar] [CrossRef] [Green Version]
  34. Korte, N.; Nortley, R.; Attwell, D. Cerebral blood flow decrease as an early pathological mechanism in Alzheimer’s disease. Acta Neuropathol. 2020, 140, 793–810. [Google Scholar] [CrossRef] [PubMed]
  35. Mentis, M.J.; Horwitz, B.; Grady, C.L.; Alexander, G.E.; VanMeter, J.W.; Maisog, J.M.; Pietrini, P.; Schapiro, M.B.; Rapoport, S.I. Visual cortical dysfunction in Alzheimer’s disease evaluated with a temporally graded “stress test” during PET. Am. J. Psychiatry 1996, 153, 32–40. [Google Scholar] [CrossRef] [PubMed]
  36. Warkentin, S.; Passant, U. Functional imaging of the frontal lobes in organic dementia. Regional cerebral blood flow findings in normals, in patients with frontotemporal dementia and in patients with Alzheimer’s disease, performing a word fluency test. Dement. Geriatr. Cogn. Disord. 1997, 8, 105–109. [Google Scholar] [CrossRef]
  37. Ide, K.; Schmalbruch, I.K.; Quistorff, B.; Horn, A.; Secher, N.H. Lactate, glucose and O2 uptake in human brain during recovery from maximal exercise. J. Physiol. 2000, 522, 159–164. [Google Scholar] [CrossRef]
  38. Ogoh, S.; Ainslie, P.N. Cerebral blood flow during exercise: Mechanisms of regulation. J. Appl. Physiol. (1985) 2009, 107, 1370–1380. [Google Scholar] [CrossRef] [Green Version]
  39. Ogoh, S.; Ainslie, P.N. Regulatory mechanisms of cerebral blood flow during exercise: New concepts. Exerc. Sport Sci. Rev. 2009, 37, 123–129. [Google Scholar] [CrossRef] [PubMed]
  40. Ogoh, S.; Brothers, R.M.; Barnes, Q.; Eubank, W.L.; Hawkins, M.N.; Purkayastha, S.; O-Yurvati, A.; Raven, P.B. The effect of changes in cardiac output on middle cerebral artery mean blood velocity at rest and during exercise. J. Physiol. 2005, 569, 697–704. [Google Scholar] [CrossRef] [PubMed]
  41. Ogoh, S.; Dalsgaard, M.K.; Yoshiga, C.C.; Dawson, E.A.; Keller, D.M.; Raven, P.B.; Secher, N.H. Dynamic cerebral autoregulation during exhaustive exercise in humans. Am. J. Physiol. Heart Circ. Physiol. 2005, 288, H1461–H1467. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  42. Sato, K.; Ogoh, S.; Hirasawa, A.; Oue, A.; Sadamoto, T. The distribution of blood flow in the carotid and vertebral arteries during dynamic exercise in humans. J. Physiol. 2011, 589, 2847–2856. [Google Scholar] [CrossRef]
  43. Brisswalter, J.; Collardeau, M.; Rene, A. Effects of acute physical exercise characteristics on cognitive performance. Sports Med. 2002, 32, 555–566. [Google Scholar] [CrossRef]
  44. McMorris, T.; Sproule, J.; Turner, A.; Hale, B.J. Acute, intermediate intensity exercise, and speed and accuracy in working memory tasks: A meta-analytical comparison of effects. Physiol. Behav. 2011, 102, 421–428. [Google Scholar] [CrossRef] [PubMed]
  45. Grego, F.; Vallier, J.M.; Collardeau, M.; Rousseu, C.; Cremieux, J.; Brisswalter, J. Influence of exercise duration and hydration status on cognitive function during prolonged cycling exercise. Int. J. Sports Med. 2005, 26, 27–33. [Google Scholar] [CrossRef] [PubMed]
  46. Ogoh, S.; Tsukamoto, H.; Hirasawa, A.; Hasegawa, H.; Hirose, N.; Hashimoto, T. The effect of changes in cerebral blood flow on cognitive function during exercise. Physiol. Rep. 2014, 2, e12163. [Google Scholar] [CrossRef]
  47. Lucas, S.J.; Ainslie, P.N.; Murrell, C.J.; Thomas, K.N.; Franz, E.A.; Cotter, J.D. Effect of age on exercise-induced alterations in cognitive executive function: Relationship to cerebral perfusion. Exp. Gerontol. 2012, 47, 541–551. [Google Scholar] [CrossRef] [PubMed]
  48. Smale, B.A.; Northey, J.M.; Smee, D.J.; Versey, N.G.; Rattray, B. Compression garments and cerebral blood flow: Influence on cognitive and exercise performance. Eur. J. Sport Sci. 2018, 18, 315–322. [Google Scholar] [CrossRef]
  49. Ogoh, S.; Sato, K.; Okazaki, K.; Miyamoto, T.; Hirasawa, A.; Shibasaki, M. Hyperthermia modulates regional differences in cerebral blood flow to changes in CO2. J. Appl. Physiol. (1985) 2014, 117, 46–52. [Google Scholar] [CrossRef] [Green Version]
  50. Ando, S.; Hatamoto, Y.; Sudo, M.; Kiyonaga, A.; Tanaka, H.; Higaki, Y. The effects of exercise under hypoxia on cognitive function. PLoS ONE 2013, 8, e63630. [Google Scholar] [CrossRef] [Green Version]
  51. Komiyama, T.; Katayama, K.; Sudo, M.; Ishida, K.; Higaki, Y.; Ando, S. Cognitive function during exercise under severe hypoxia. Sci. Rep. 2017, 7, 10000. [Google Scholar] [CrossRef] [Green Version]
  52. Miyazawa, T.; Horiuchi, M.; Ichikawa, D.; Sato, K.; Tanaka, N.; Bailey, D.M.; Ogoh, S. Kinetics of exercise-induced neural activation; interpretive dilemma of altered cerebral perfusion. Exp. Physiol. 2012, 97, 219–227. [Google Scholar] [CrossRef] [PubMed]
  53. Quistorff, B.; Secher, N.H.; Van Lieshout, J.J. Lactate fuels the human brain during exercise. FASEB J. Off. Publ. Fed. Am. Soc. Exp. Biol. 2008, 22, 3443–3449. [Google Scholar] [CrossRef] [PubMed]
  54. van Hall, G.; Stromstad, M.; Rasmussen, P.; Jans, O.; Zaar, M.; Gam, C.; Quistorff, B.; Secher, N.H.; Nielsen, H.B. Blood lactate is an important energy source for the human brain. J. Cereb. Blood Flow Metab. 2009, 29, 1121–1129. [Google Scholar] [CrossRef] [PubMed]
  55. Egner, T.; Hirsch, J. The neural correlates and functional integration of cognitive control in a Stroop task. NeuroImage 2005, 24, 539–547. [Google Scholar] [CrossRef]
  56. McMorris, T. Developing the catecholamines hypothesis for the acute exercise-cognition interaction in humans: Lessons from animal studies. Physiol. Behav. 2016, 165, 291–299. [Google Scholar] [CrossRef] [Green Version]
  57. Dalsgaard, M.K.; Ide, K.; Cai, Y.; Quistorff, B.; Secher, N.H. The intent to exercise influences the cerebral O(2)/carbohydrate uptake ratio in humans. J. Physiol. 2002, 540, 681–689. [Google Scholar] [CrossRef]
  58. Kemppainen, J.; Aalto, S.; Fujimoto, T.; Kalliokoski, K.K.; Langsjo, J.; Oikonen, V.; Rinne, J.; Nuutila, P.; Knuuti, J. High intensity exercise decreases global brain glucose uptake in humans. J. Physiol. 2005, 568, 323–332. [Google Scholar] [CrossRef] [Green Version]
  59. Barros, L.F. Metabolic signaling by lactate in the brain. Trends Neurosci. 2013, 36, 396–404. [Google Scholar] [CrossRef]
  60. Hu, Y.; Wilson, G.S. A temporary local energy pool coupled to neuronal activity: Fluctuations of extracellular lactate levels in rat brain monitored with rapid-response enzyme-based sensor. J. Neurochem. 1997, 69, 1484–1490. [Google Scholar] [CrossRef]
  61. Smith, D.; Pernet, A.; Hallett, W.A.; Bingham, E.; Marsden, P.K.; Amiel, S.A. Lactate: A preferred fuel for human brain metabolism in vivo. J. Cereb. Blood Flow Metab. 2003, 23, 658–664. [Google Scholar] [CrossRef] [Green Version]
  62. Holloway, R.; Zhou, Z.; Harvey, H.B.; Levasseur, J.E.; Rice, A.C.; Sun, D.; Hamm, R.J.; Bullock, M.R. Effect of lactate therapy upon cognitive deficits after traumatic brain injury in the rat. Acta Neurochir. 2007, 149, 919–927; discussion 927. [Google Scholar] [CrossRef]
  63. Skriver, K.; Roig, M.; Lundbye-Jensen, J.; Pingel, J.; Helge, J.W.; Kiens, B.; Nielsen, J.B. Acute exercise improves motor memory: Exploring potential biomarkers. Neurobiol. Learn. Mem. 2014, 116, 46–58. [Google Scholar] [CrossRef]
  64. Schurr, A.; West, C.A.; Rigor, B.M. Lactate-supported synaptic function in the rat hippocampal slice preparation. Science 1988, 240, 1326–1328. [Google Scholar] [CrossRef] [PubMed]
  65. Suzuki, A.; Stern, S.A.; Bozdagi, O.; Huntley, G.W.; Walker, R.H.; Magistretti, P.J.; Alberini, C.M. Astrocyte-neuron lactate transport is required for long-term memory formation. Cell 2011, 144, 810–823. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  66. Yang, J.; Ruchti, E.; Petit, J.M.; Jourdain, P.; Grenningloh, G.; Allaman, I.; Magistretti, P.J. Lactate promotes plasticity gene expression by potentiating NMDA signaling in neurons. Proc. Natl. Acad. Sci. USA 2014, 111, 12228–12233. [Google Scholar] [CrossRef] [Green Version]
  67. Hashimoto, T.; Tsukamoto, H.; Takenaka, S.; Olesen, N.D.; Petersen, L.G.; Sorensen, H.; Nielsen, H.B.; Secher, N.H.; Ogoh, S. Maintained exercise-enhanced brain executive function related to cerebral lactate metabolism in men. FASEB J. Off. Publ. Fed. Am. Soc. Exp. Biol. 2018, 32, 1417–1427. [Google Scholar] [CrossRef] [Green Version]
  68. Chmura, J.; Nazar, K.; Kaciuba-Uscilko, H. Choice reaction time during graded exercise in relation to blood lactate and plasma catecholamine thresholds. Int. J. Sports Med. 1994, 15, 172–176. [Google Scholar] [CrossRef] [PubMed]
  69. Griffin, E.W.; Mullally, S.; Foley, C.; Warmington, S.A.; O’Mara, S.M.; Kelly, A.M. Aerobic exercise improves hippocampal function and increases BDNF in the serum of young adult males. Physiol. Behav. 2011, 104, 934–941. [Google Scholar] [CrossRef]
  70. Lev-Vachnish, Y.; Cadury, S.; Rotter-Maskowitz, A.; Feldman, N.; Roichman, A.; Illouz, T.; Varvak, A.; Nicola, R.; Madar, R.; Okun, E. L-Lactate Promotes Adult Hippocampal Neurogenesis. Front. Neurosci. 2019, 13, 403. [Google Scholar] [CrossRef]
  71. Sudo, M.; Komiyama, T.; Aoyagi, R.; Nagamatsu, T.; Higaki, Y.; Ando, S. Executive function after exhaustive exercise. Eur. J. Appl. Physiol. 2017, 117, 2029–2038. [Google Scholar] [CrossRef]
  72. Cotman, C.W.; Berchtold, N.C.; Christie, L.A. Exercise builds brain health: Key roles of growth factor cascades and inflammation. Trends Neurosci. 2007, 30, 464–472. [Google Scholar] [CrossRef]
  73. Mattson, M.P.; Maudsley, S.; Martin, B. BDNF and 5-HT: A dynamic duo in age-related neuronal plasticity and neurodegenerative disorders. Trends Neurosci. 2004, 27, 589–594. [Google Scholar] [CrossRef] [PubMed]
  74. Laske, C.; Banschbach, S.; Stransky, E.; Bosch, S.; Straten, G.; Machann, J.; Fritsche, A.; Hipp, A.; Niess, A.; Eschweiler, G.W. Exercise-induced normalization of decreased BDNF serum concentration in elderly women with remitted major depression. Int. J. Neuropsychopharmacol. 2010, 13, 595–602. [Google Scholar] [CrossRef] [Green Version]
  75. Shimada, H.; Makizako, H.; Doi, T.; Yoshida, D.; Tsutsumimoto, K.; Anan, Y.; Uemura, K.; Lee, S.; Park, H.; Suzuki, T. A large, cross-sectional observational study of serum BDNF, cognitive function, and mild cognitive impairment in the elderly. Front. Aging Neurosci. 2014, 6, 69. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  76. Schiffer, T.; Schulte, S.; Sperlich, B.; Achtzehn, S.; Fricke, H.; Struder, H.K. Lactate infusion at rest increases BDNF blood concentration in humans. Neurosci. Lett. 2011, 488, 234–237. [Google Scholar] [CrossRef] [PubMed]
  77. Ferris, L.T.; Williams, J.S.; Shen, C.L. The effect of acute exercise on serum brain-derived neurotrophic factor levels and cognitive function. Med. Sci. Sports Exerc. 2007, 39, 728–734. [Google Scholar] [CrossRef] [PubMed]
  78. Rodriguez, A.L.; Whitehurst, M.; Fico, B.G.; Dodge, K.M.; Ferrandi, P.J.; Pena, G.; Adelman, A.; Huang, C.J. Acute high-intensity interval exercise induces greater levels of serum brain-derived neurotrophic factor in obese individuals. Exp. Biol. Med. (Maywood N.J.) 2018, 243, 1153–1160. [Google Scholar] [CrossRef]
  79. Kujach, S.; Olek, R.A.; Byun, K.; Suwabe, K.; Sitek, E.J.; Ziemann, E.; Laskowski, R.; Soya, H. Acute Sprint Interval Exercise Increases Both Cognitive Functions and Peripheral Neurotrophic Factors in Humans: The Possible Involvement of Lactate. Front. Neurosci. 2019, 13, 1455. [Google Scholar] [CrossRef]
  80. El Hayek, L.; Khalifeh, M.; Zibara, V.; Abi Assaad, R.; Emmanuel, N.; Karnib, N.; El-Ghandour, R.; Nasrallah, P.; Bilen, M.; Ibrahim, P.; et al. Lactate Mediates the Effects of Exercise on Learning and Memory through SIRT1-Dependent Activation of Hippocampal Brain-Derived Neurotrophic Factor (BDNF). J. Neurosci. Off. J. Soc. Neurosci. 2019, 39, 2369–2382. [Google Scholar] [CrossRef] [Green Version]
  81. Müller, P.; Duderstadt, Y.; Lessmann, V.; Müller, N.G. Lactate and BDNF: Key Mediators of Exercise Induced Neuroplasticity? J. Clin. Med. 2020, 9, 1136. [Google Scholar] [CrossRef]
  82. Morland, C.; Andersson, K.A.; Haugen, O.P.; Hadzic, A.; Kleppa, L.; Gille, A.; Rinholm, J.E.; Palibrk, V.; Diget, E.H.; Kennedy, L.H.; et al. Exercise induces cerebral VEGF and angiogenesis via the lactate receptor HCAR1. Nat. Commun. 2017, 8, 15557. [Google Scholar] [CrossRef]
  83. Lucas, S.J.; Cotter, J.D.; Brassard, P.; Bailey, D.M. High-intensity interval exercise and cerebrovascular health: Curiosity, cause, and consequence. J. Cereb. Blood Flow Metab. 2015, 35, 902–911. [Google Scholar] [CrossRef] [PubMed]
  84. Carrard, A.; Cassé, F.; Carron, C.; Burlet-Godinot, S.; Toni, N.; Magistretti, P.J.; Martin, J.L. Role of adult hippocampal neurogenesis in the antidepressant actions of lactate. Mol. Psychiatry 2021. [Google Scholar] [CrossRef] [PubMed]
  85. Karnib, N.; El-Ghandour, R.; El Hayek, L.; Nasrallah, P.; Khalifeh, M.; Barmo, N.; Jabre, V.; Ibrahim, P.; Bilen, M.; Stephan, J.S.; et al. Lactate is an antidepressant that mediates resilience to stress by modulating the hippocampal levels and activity of histone deacetylases. Neuropsychopharmacol. Off. Publ. Am. Coll. Neuropsychopharmacol. 2019, 44, 1152–1162. [Google Scholar] [CrossRef] [PubMed]
  86. Carrard, A.; Elsayed, M.; Margineanu, M.; Boury-Jamot, B.; Fragnière, L.; Meylan, E.M.; Petit, J.M.; Fiumelli, H.; Magistretti, P.J.; Martin, J.L. Peripheral administration of lactate produces antidepressant-like effects. Mol. Psychiatry 2018, 23, 392–399. [Google Scholar] [CrossRef] [Green Version]
  87. Margineanu, M.B.; Mahmood, H.; Fiumelli, H.; Magistretti, P.J. L-Lactate Regulates the Expression of Synaptic Plasticity and Neuroprotection Genes in Cortical Neurons: A Transcriptome Analysis. Front. Mol. Neurosci. 2018, 11, 375. [Google Scholar] [CrossRef]
  88. Gordon, G.R.; Choi, H.B.; Rungta, R.L.; Ellis-Davies, G.C.; MacVicar, B.A. Brain metabolism dictates the polarity of astrocyte control over arterioles. Nature 2008, 456, 745–749. [Google Scholar] [CrossRef] [Green Version]
  89. Mintun, M.A.; Vlassenko, A.G.; Rundle, M.M.; Raichle, M.E. Increased lactate/pyruvate ratio augments blood flow in physiologically activated human brain. Proc. Natl. Acad. Sci. USA 2004, 101, 659–664. [Google Scholar] [CrossRef] [Green Version]
  90. Hollyer, T.R.; Bordoni, L.; Kousholt, B.S.; van Luijk, J.; Ritskes-Hoitinga, M.; Østergaard, L. The evidence for the physiological effects of lactate on the cerebral microcirculation: A systematic review. J. Neurochem. 2019, 148, 712–730. [Google Scholar] [CrossRef]
  91. Carteron, L.; Solari, D.; Patet, C.; Quintard, H.; Miroz, J.P.; Bloch, J.; Daniel, R.T.; Hirt, L.; Eckert, P.; Magistretti, P.J.; et al. Hypertonic Lactate to Improve Cerebral Perfusion and Glucose Availability After Acute Brain Injury. Crit. Care Med. 2018, 46, 1649–1655. [Google Scholar] [CrossRef] [PubMed]
  92. Brooks, G.A.; Martin, N.A. Cerebral metabolism following traumatic brain injury: New discoveries with implications for treatment. Front. Neurosci. 2014, 8, 408. [Google Scholar] [CrossRef]
  93. Bisri, T.; Utomo, B.A.; Fuadi, I. Exogenous lactate infusion improved neurocognitive function of patients with mild traumatic brain injury. Asian J. Neurosurg. 2016, 11, 151–159. [Google Scholar] [CrossRef] [Green Version]
  94. Winett, R.A.; Carpinelli, R.N. Potential health-related benefits of resistance training. Prev. Med. 2001, 33, 503–513. [Google Scholar] [CrossRef] [PubMed]
  95. Tsukamoto, H.; Suga, T.; Takenaka, S.; Takeuchi, T.; Tanaka, D.; Hamaoka, T.; Hashimoto, T.; Isaka, T. An acute bout of localized resistance exercise can rapidly improve inhibitory control. PLoS ONE 2017, 12, e0184075. [Google Scholar] [CrossRef] [PubMed]
  96. Dora, K.; Suga, T.; Tomoo, K.; Sugimoto, T.; Mok, E.; Tsukamoto, H.; Takada, S.; Hashimoto, T.; Isaka, T. Effect of very low-intensity resistance exercise with slow movement and tonic force generation on post-exercise inhibitory control. Heliyon 2021, 7, e06261. [Google Scholar] [CrossRef] [PubMed]
  97. Dora, K.; Suga, T.; Tomoo, K.; Sugimoto, T.; Mok, E.; Tsukamoto, H.; Takada, S.; Hashimoto, T.; Isaka, T. Similar improvements in cognitive inhibitory control following low-intensity resistance exercise with slow movement and tonic force generation and high-intensity resistance exercise in healthy young adults: A preliminary study. J. Physiol. Sci. JPS 2021, 71, 22. [Google Scholar] [CrossRef] [PubMed]
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