Effects of exercise training on brain metabolism and cognitive functioning in sleep apnea

Linda M Ueno-Pardi, Fabio L Souza-Duran, Larissa Matheus, Amanda G Rodrigues, Eline R F Barbosa, Paulo J Cunha, Camila G Carneiro, Naomi A Costa, Carla R Ono, Carlos A Buchpiguel, Carlos E Negrão, Geraldo Lorenzi-Filho, Geraldo Busatto-Filho, Linda M Ueno-Pardi, Fabio L Souza-Duran, Larissa Matheus, Amanda G Rodrigues, Eline R F Barbosa, Paulo J Cunha, Camila G Carneiro, Naomi A Costa, Carla R Ono, Carlos A Buchpiguel, Carlos E Negrão, Geraldo Lorenzi-Filho, Geraldo Busatto-Filho

Abstract

Impaired glucose metabolism reflects neuronal/synaptic dysfunction and cognitive function decline in patients with obstructive sleep apnea (OSA). The study investigated the extent to which exercise training (ET) improves cerebral metabolic glucose rate (CMRgl) and cognitive function in patients with OSA. Patients with moderate to severe OSA were randomly assigned to ET (3 times/week, n = 23) or no intervention (control, n = 24). Echocardiography and apolipoprotein ε4 (APOEε4) genotyping were obtained at baseline. Both groups underwent cardiopulmonary exercise testing, polysomnography, cognitive tests, brain magnetic resonance imaging, and 18F-fluoro-2-deoxy-D-Glucose positron emission tomography (18FDG-PET) at baseline and study end. Compared with control, exercise-trained group had improved exercise capacity, decreased apnea-hypopnea index (AHI), oxygen desaturation and arousal index; increased attention/executive functioning, increased CMRgl in the right frontal lobe (P < 0.05). After ET an inverse relationships occurred between CMRgl and obstructive AHI (r = - 0.43, P < 0.05) and apnea arousal index (r = - 0.53, P < 0.05), and between the changes in CMRgl and changes in mean O2 saturation during sleep and non-rapid eye movement sleep (r = - 0.43, P < 0.05), desaturation during arousal (r = - 0.44, P < 0.05), and time to attention function testing (r = - 0.46, P < 0.05). ET improves OSA severity and CMRg in the frontal lobe, which helps explain the improvement in attention/executive functioning. Our study provides promising data that reinforce the growing idea that ET may be a valuable tool to prevent hypoxia associated with decreased brain metabolism and cognitive functioning in patients with moderate to severe OSA.Trial registration: NCT02289625 (13/11/2014).

Conflict of interest statement

The authors declare no competing interests.

© 2022. The Author(s).

Figures

Figure 1
Figure 1
Profile of a randomized clinical trial showing the progress of patients throughout the trial. AHI, apnea–hypopnea index; MRI, magnetic resonance image; OSA, obstructive sleep apnea.
Figure 2
Figure 2
(AC) Changes in cognitive performance in patients with obstructive sleep apnea in the control group and exercise-trained group. CSWT, Stroop Color Word Test; FAB, Frontal Assessment Battery; TMT, Trail Making Test. *P < 0.05 control versus training group.
Figure 3
Figure 3
Findings showing clusters of changes in cerebral metabolic glucose rate (CMRgl) in the frontal lobe of the right hemisphere highlighted in yellow in exercise-trained and control patients with obstructive sleep apnea. Foci of significance are overlaid on sagittal, coronal, and axial brain slices spatially normalized in MNI space. All voxel clusters shown in the figures retained statistical significance after family-wise error correction for multiple comparisons (P < 0.005), corrected for multiple comparison over right frontal lobe and had a minimum extent threshold of 20 voxels. Statistical details are given in Table 4. The colored bar represents F-values. The model includes APOE ε4 allele and time interval between magnetic resonance data collection as covariates. R = right.
Figure 4
Figure 4
(A) Normalized cerebral metabolic glucose rate (CMRgl) peak values (voxel values extracted from the coordinate of maximal significance) within and between control and exercise-trained groups; (B) Delta changes in CMRgl peak values in patients with obstructive sleep apnea in the control group and exercise-trained group. +P < 0.05 Significant difference compared with respective baseline values (2-way ANOVA). *P < 0.05 Control versus training group (Unpaired t test).

References

    1. Somers VK, et al. Sleep apnea and cardiovascular disease: An American Heart Association/American College of Cardiology Foundation Scientific Statement from the American Heart Association Council for High Blood Pressure Research Professional Education Committee, Council on Clinical Cardiology, Stroke Council, and Council on Cardiovascular Nursing. J. Am. Coll. Cardiol. 2008;52:686–717. doi: 10.1016/j.jacc.2008.05.002.
    1. Quan W, et al. High risk characteristics for recurrent cardiovascular events among patients with obstructive sleep apnoea in the SAVE Study. EClin. Med. 2018;2–3:59–65.
    1. Mansukhani MP, Kolla BP, Somers VK. Hypertension and cognitive decline: Implications of obstructive sleep apnea. Front. Cardiovasc. Med. 2019;10(6):96. doi: 10.3389/fcvm.2019.00096.
    1. Yaouhi K, et al. A combined neuropsychological and brain imaging study of obstructive sleep apnea. J. Sleep Res. 2009;18(1):36–48. doi: 10.1111/j.1365-2869.2008.00705.x.
    1. Daulatzai MA. Cerebral hypoperfusion and glucose hypometabolism: Key pathophysiological modulators promote neurodegeneration, cognitive impairment, and Alzheimer's disease. J. Neurosci. Res. 2017;95(4):943–972. doi: 10.1002/jnr.23777.
    1. Ju G, Yoon IY, Lee SD, Kim YK, Yoon E, Kim JW. Modest changes in cerebral glucose metabolism in patients with sleep apnea syndrome after continuous positive airway pressure treatment. Respiration. 2012;84(3):212–218. doi: 10.1159/000338117.
    1. Kheirandish L, Gozal D, Pequignot JM, Pequignot J, Row BW. Intermittent hypoxia during development induces long-term alterations in spatial working memory, monoamines, and dendritic branching in rat frontal cortex. Pediatr. Res. 2005;58(3):594–599. doi: 10.1203/01.pdr.0000176915.19287.e2.
    1. Gozal D, Daniel J, Dohanich GP. Behavioral and anatomical correlates of chronic episodic hypoxia during sleep in the rat. J. Neurosci. 2001;21:2442–2450. doi: 10.1523/JNEUROSCI.21-07-02442.2001.
    1. Sforza E, Roche F. Sleep apnea syndrome and cognition. Front. Neurol. 2012;3(87):1–6.
    1. O'Hara R, et al. Nocturnal sleep apnea/hypopnea is associated with lower memory performance in APOE epsilon4 carriers. Neurology. 2005;65(4):642–644. doi: 10.1212/.
    1. Yaffe K, et al. Sleep-disordered breathing, hypoxia, and risk of mild cognitive impairment and dementia in older women. JAMA. 2011;306(6):613–619. doi: 10.1001/jama.2011.1115.
    1. Devita M, et al. Associations between the apnea-hypopnea index during REM and NREM sleep and cognitive functioning in a cohort of middle-aged adults. J. Clin. Sleep Med. 2019;15(7):965–971. doi: 10.5664/jcsm.7872.
    1. Cosentino FI, et al. The APOE epsilon4 allele increases the risk of impaired spatial working memory in obstructive sleep apnea. Sleep Med. 2008;9(8):831–839. doi: 10.1016/j.sleep.2007.10.015.
    1. Iftikhar IH, Kline CE, Youngstedt SD. Effects of exercise training on sleep apnea: A meta-analysis. Lung. 2014;192:175–184. doi: 10.1007/s00408-013-9511-3.
    1. Andrade FM, Pedrosa RP. The role of physical exercise in obstructive sleep apnea. J. Bras. Pneumol. 2016;42(6):457–464. doi: 10.1590/s1806-37562016000000156.
    1. Guerra RS, et al. Exercise training increases metaboreflex control in patients with obstructive sleep apnea. Med. Sci. Sports Exerc. 2019;51(3):426–435. doi: 10.1249/MSS.0000000000001805.
    1. Goya TT, et al. Increased muscle sympathetic nerve activity and impaired executive performance capacity in obstructive sleep apnea. Sleep. 2016;39(1):25–33. doi: 10.5665/sleep.5310.
    1. Ferreira-Silva R, et al. Vascular response during mental stress in sedentary and physically active patients with obstructive sleep apnea. J. Clin. Sleep Med. 2018;14(9):1463–1470. doi: 10.5664/jcsm.7314.
    1. Araújo CEL, et al. Effects of exercise training on autonomic modulation and mood symptoms in patients with obstructive sleep apnea. Braz. J. Med. Biol. Res. 2021;54(5):e10543. doi: 10.1590/1414-431x202010543.
    1. Canessa N, Castronovo V, Cappa SF. Obstructive sleep apnea: Brain structural changes and neurocognitive function before and after treatment. Am. J. Respir. Crit. Care Med. 2011;183(10):1419–1426. doi: 10.1164/rccm.201005-0693OC.
    1. Kisler K, Nelson AR, Montagne A, Zlokovic BV. Cerebral blood flow regulation and neurovascular dysfunction in Alzheimer disease. Nat. Rever. Neurosci. 2017;18(7):419–434. doi: 10.1038/nrn.2017.48.
    1. Fan J, et al. The contribution of genetic factors to cognitive impairment and dementia: Apolipoprotein E gene, gene interactions, and polygenic risk. Int. J. Mol. Sci. 2019;20(5):1177. doi: 10.3390/ijms20051177.
    1. Luo Y, Tan L, Therriault J, Zhang H, Gao Y, The Alzheimer’s Disease Neuroimaging Initiative The role of apolipoprotein E epsilon 4 in early and late mild cognitive impairment. Eur. Neurol. 2021;84(6):472–480. doi: 10.1159/000516774.
    1. Wang HK, et al. Apolipoprotein E, angiotensin-converting enzyme and kallikrein gene polymorphisms and the risk of Alzheimer's disease and vascular dementia. J. Neural. Transm. 2006;113(10):1499–1509. doi: 10.1007/s00702-005-0424-z.
    1. Ueno LM, et al. Effects of exercise training in patients with chronic heart failure and sleep apnea. Sleep. 2009;32(5):637–647. doi: 10.1093/sleep/32.5.637.
    1. Drager LF, Ueno LM, Lessa PS, Negrão CE, Lorenzi-Filho G, Krieger EM. Sleep-related changes in hemodynamic and autonomic regulation in human hypertension. J. Hypertens. 2009;27(8):1655–1663. doi: 10.1097/HJH.0b013e32832c6982.
    1. Iber C, Ancoli-Israel S, Chesson A, Quan SF. The AASM Manual for the Scoring of Sleep and Associated Events: Rules, Terminology and Technical Specifications. 1. American Academy of Sleep Medicine; 2007.
    1. Folstein MF, Folstein SE, McHugh PR. “Mini Mental State” A practical method for grading the cognitive state of patients for the clinician. J. Psychiatry Res. 1975;12:189–198. doi: 10.1016/0022-3956(75)90026-6.
    1. Malloy-Diniz LF, Lasmar VA, Gazinelli LD, Fuentes D, Salgado JV. The Rey Auditory-Verbal Learning Test: Applicability for the Brazilian elderly population. Rev. Bras. Psiquiatr. 2007;29:324–329. doi: 10.1590/S1516-44462006005000053.
    1. Beato RG, Nitrini R, Formigoni AP, Caramelli P. Brazilian version of the Frontal Assessment Battery (FAB): Preliminary data on administration to healthy elderly. Dement. Neuropsychol. 2007;1(1):59–65. doi: 10.1590/S1980-57642008DN10100010.
    1. Campanholo KR, et al. Performance of an adult Brazilian sample on the Trail Making Test and Stroop Test. Dement. Neuropsychol. 2014;8(1):26–31. doi: 10.1590/S1980-57642014DN81000005.
    1. Zimmermann N, Cardoso CO, Trentini CM, Grassi-Oliveira R, Fonseca RP. Brazilian preliminary norms and investigation of age and education effects on the Modified Wisconsin Card Sorting Test, Stroop Color and Word test and Digit Span test in adults. Dement. Neuropsychol. 2015;9(2):120–127. doi: 10.1590/1980-57642015DN92000006.
    1. Golden C, Freshwater S. A Manual for the Adult Stroop Color and Word Test. Stoelting; 2002.
    1. Wechsler D. Wechsler Abbreviated Scale of Intelligence (WASI) The Psychological Corporation: Harcourt Brace & Company; 1999.
    1. Gonçalves DM, Stein AT, Kapczinski F. Avaliação de desempenho do Self-Reporting Questionnaire como instrumento de rastreamento psiquiátrico: Um estudo comparativo com o Structured Clinical Interview for DSM-IV-TR. Cad. Saúde Pública. 2008;24(2):380–390. doi: 10.1590/S0102-311X2008000200017.
    1. Beck AT, Epstein N, Brown G, Steer RA. An inventory for measuring clinical anxiety: Psychometric properties. J. Consult. Clin. Psychol. 1988;56:893–897. doi: 10.1037/0022-006X.56.6.893.
    1. Beck AT, Ward CH, Mendelson M, Mock J, Erbaugh J. An inventory for measuring depression. Arch. Gen. Psychiatry. 1961;4:561–571. doi: 10.1001/archpsyc.1961.01710120031004.
    1. Dean, A.G., Sullivan, K.M. & Soe, M.M. OpenEpi: Open Source Epidemiologic Statistics for Public Health. Versão 3.03a ed. (2015).
    1. Kline CE, et al. The effect of exercise training on obstructive sleep apnea and sleep quality: A randomized controlled trial. Sleep. 2011;34(12):1631–1640. doi: 10.5665/sleep.1422.
    1. Kline CE, et al. Exercise training improves selected aspects of daytime functioning in adults with obstructive sleep apnea. J. Clin. Sleep Med. 2012;8(4):357–365. doi: 10.5664/jcsm.2022.
    1. Beebe DW, Gozal D. Obstructive sleep apnea and the prefrontal cortex: Towards a comprehensive model linking nocturnal upper airway obstruction to daytime cognitive and behavioral deficits. J. Sleep Res. 2002;11(1):1–16. doi: 10.1046/j.1365-2869.2002.00289.x.
    1. Harper RM, Kumar R, Macey PM, Woo MA, Ogren JA. Affective brain areas and sleep-disordered breathing. Prog. Brain Res. 2014;209:275–293. doi: 10.1016/B978-0-444-63274-6.00014-X.
    1. Logue SF, Gould TJ. The neural and genetic basis of executive function: Attention, cognitive flexibility, and response inhibition. Pharmacol. Biochem. Behav. 2014;123:45–54. doi: 10.1016/j.pbb.2013.08.007.
    1. Karimi M, et al. Attention deficits detected in cognitive tests differentiate between sleep apnea patients with or without a motor vehicle accident. Sleep Med. 2015;16(4):528–533. doi: 10.1016/j.sleep.2014.11.015.
    1. Hong S, et al. A case of obstructive sleep apnea and assessments of fitness for work. Ann. Occup. Environ. Med. 2014;25(26):7. doi: 10.1186/2052-4374-26-7.
    1. Maki-Nunes C, et al. Diet and exercise improve chemoreflex sensitivity in patients with metabolic syndrome and obstructive sleep apnea. Obesity. 2015;23(8):1582–1590. doi: 10.1002/oby.21126.
    1. Bughin F, et al. Effects of an individualized exercise training program on severity markers of obstructive sleep apnea syndrome: A randomized controlled trial. Sleep Med. 2020;70:33–42. doi: 10.1016/j.sleep.2020.02.008.
    1. Mosconi L, et al. Age and ApoE genotype interaction in Alzheimer's disease: An FDG-PET study. Psychiatry Res. 2004;130(2):141–151. doi: 10.1016/j.pscychresns.2003.12.005.
    1. Mosconi L, et al. Brain metabolic differences between sporadic and familial Alzheimer’s disease. Neurology. 2003;61(28):1138–1140. doi: 10.1212/01.WNL.0000086816.30011.75.

Source: PubMed

3
Se inscrever