Acupuncture and Moxibustion have Different Effects on Fatigue by Regulating the Autonomic Nervous System: A Pilot Controlled Clinical Trial

Qing Shu, Hua Wang, Daniela Litscher, Song Wu, Li Chen, Ingrid Gaischek, Lu Wang, Wenjuan He, Huanjiao Zhou, Gerhard Litscher, Fengxia Liang, Qing Shu, Hua Wang, Daniela Litscher, Song Wu, Li Chen, Ingrid Gaischek, Lu Wang, Wenjuan He, Huanjiao Zhou, Gerhard Litscher, Fengxia Liang

Abstract

In order to investigate the different effects of acupuncture and moxibustion on chronic fatigue syndrome (CFS) and alterations in the autonomic nervous system by measuring heart rate variability (HRV). Forty-five participants were recruited and randomly divided into 3 groups using a randomization schedule. The control group (CG, n = 15) and the acupuncture group (AG, n = 15) were treated by manipulation acupuncture, and the moxibustion group (MG, n = 15) was treated by indirect moxibustion. Primary outcomes were the scores of the Fatigue Assessment Instrument (FAI). Secondary outcomes were the HRV parameters which can reflect activity of the autonomic nervous system. This trial considered both instantaneous changes and long-term effectiveness. FAI scores decreased after the 4th and 10th treatments in the 3 groups. The decrease in FAI in the MG was greater than that in the AG. Acupuncture was more effective in instantaneous changes of HRV and moxibustion in long-term aspects. Both acupuncture and moxibustion improved fatigue in CFS patients, but moxibustion was more effective. The possible mechanism of the intervention may be through activation of the vagus nerve. Moxibustion was more effective than acupuncture in long-term treatment of CFS.

Figures

Figure 1. Acupoint locations.
Figure 1. Acupoint locations.
Figure 2. Flow of participants.
Figure 2. Flow of participants.
Figure 3. Procedure of Treatment & Measurement.
Figure 3. Procedure of Treatment & Measurement.
Figure 4. correlation between FAI scores and…
Figure 4. correlation between FAI scores and HRV parameters.
(A) The difference between healthy volunteers and CFS patients in FAI and HRV indices. Compared with the healthy volunteers, the quantitative value of total HRV was significantly lower and FAI scores was significantly higher in CFS patients (P < 0.05). (B) The correlation coefficient between HRV indices and FAI scores. All the HRV indices had a weak correlation with the level of fatigue either in the CFS patients or health volunteers. Total HRV and HF in CFS patients as well as HF in health volunteers showed a closer correlation than other parameters. (PCC: Pearson correlation coefficient, X axis in Figure (4b) represent the FAI scores).
Figure 5. Changes in FAI.
Figure 5. Changes in FAI.
(A) FAI scores before and after 4th and 10th treatments. FAI decreased after the 4th and 10th treatments in the 3 groups. FAI value at the 10th treatment was lower than that at the 4th (P < 0.05). (B) The decrease in FAI value of 3 groups. There were no significant differences in decrease value after 4th treatment (P > 0.05). After the 10th treatment, decrease value in MG were more pronounced than that in AG, while decrease value in AG were more pronounced than that in CG (P < 0.05).
Figure 6. Instantaneous Changes of HRV parameters…
Figure 6. Instantaneous Changes of HRV parameters during the 1st treatment.
During the 1st treatment, the mean HR in CG and AG decreased after the needle was inserted and increased after the needle was removed, and it did not change in MG. SDNN in CG and AG increased after the needle was inserted and decreased after the needle was removed, and it only increased between 30 minutes and 35 minutes in MG. Total HRV decreased in CG and increased in AG after the needle was inserted, and it did not change in MG. LF and HF both increased after the needle was inserted and decreased after the needle was removed in AG, and did not change in MG. lg LF/HF did not show regular changes during the st treatment.
Figure 7. Long-term effectiveness of HRV parameters…
Figure 7. Long-term effectiveness of HRV parameters before and after the 4th and 10th treatments.
Mean HR decreased after the 10th treatment in MG. Total HRV and LF increased significantly after the 4th or 10th treatment in MG (P < 0.05). The increase in HF in MG was not significant (P = 0.09). There was no significant effectiveness in CG and AG.

References

    1. Fukuda K. et al.. The chronic fatigue syndrome: a comprehensive approach to its definition and study. International Chronic Fatigue Syndrome Study Group. Annals of internal medicine 121, 953–959 (1994).
    1. Jones J. F., Nisenbaum R., Solomon L., Reyes M. & Reeves W. C. Chronic fatigue syndrome and other fatiguing illnesses in adolescents: a population-based study. The Journal of adolescent health : official publication of the Society for Adolescent Medicine 35, 34–40, doi: 10.1016/j.jadohealth.2003.09.007 (2004).
    1. Nijhof S. L. et al.. Adolescent chronic fatigue syndrome: prevalence, incidence, and morbidity. Pediatrics 127, e1169–1175, doi: 10.1542/peds.2010-1147 (2011).
    1. Devanur L. D. & Kerr J. R. Chronic fatigue syndrome. Journal of clinical virology : the official publication of the Pan American Society for Clinical Virology 37, 139–150, doi: 10.1016/j.jcv.2006.08.013 (2006).
    1. Jason L. A., Evans M., Brown M. & Porter N. What is fatigue? Pathological and nonpathological fatigue. PM & R : the journal of injury, function, and rehabilitation 2, 327–331, doi: 10.1016/j.pmrj.2010.03.028 (2010).
    1. Landay A. L., Jessop C., Lennette E. T. & Levy J. A. Chronic fatigue syndrome: clinical condition associated with immune activation. Lancet 338, 707–712 (1991).
    1. Van Houdenhove B., Kempke S. & Luyten P. Psychiatric aspects of chronic fatigue syndrome and fibromyalgia. Current psychiatry reports 12, 208–214, doi: 10.1007/s11920-010-0105-y (2010).
    1. Parker A. J., Wessely S. & Cleare A. J. The neuroendocrinology of chronic fatigue syndrome and fibromyalgia. Psychological medicine 31, 1331–1345 (2001).
    1. Whiting P. et al.. Interventions for the treatment and management of chronic fatigue syndrome: a systematic review. Jama 286, 1360–1368 (2001).
    1. Chambers D., Bagnall A. M., Hempel S. & Forbes C. Interventions for the treatment, management and rehabilitation of patients with chronic fatigue syndrome/myalgic encephalomyelitis: an updated systematic review. Journal of the Royal Society of Medicine 99, 506–520, doi: 10.1258/jrsm.99.10.506 (2006).
    1. Bagnall A. M., Whiting P., Richardson R. & Sowden A. J. Interventions for the treatment and management of chronic fatigue syndrome/myalgic encephalomyelitis. Quality & safety in health care 11, 284–288 (2002).
    1. Wang Y. Y. et al.. Traditional Chinese medicine for chronic fatigue syndrome: a systematic review of randomized clinical trials. Complementary therapies in medicine 22, 826–833, doi: 10.1016/j.ctim.2014.06.004 (2014).
    1. Son C. G. Safety of 4-week indirect-moxibustion therapy at CV4 and CV8. Journal of acupuncture and meridian studies 4, 262–265, doi: 10.1016/j.jams.2011.09.018 (2011).
    1. Wang T., Zhang Q., Xue X. & Yeung A. A systematic review of acupuncture and moxibustion treatment for chronic fatigue syndrome in China. The American journal of Chinese medicine 36, 1–24, doi: 10.1142/S0192415X08005540 (2008).
    1. Alraek T., Lee M. S., Choi T. Y., Cao H. & Liu J. Complementary and alternative medicine for patients with chronic fatigue syndrome: a systematic review. BMC complementary and alternative medicine 11, 87, doi: 10.1186/1472-6882-11-87 (2011).
    1. Porter N. S., Jason L. A., Boulton A., Bothne N. & Coleman B. Alternative medical interventions used in the treatment and management of myalgic encephalomyelitis/chronic fatigue syndrome and fibromyalgia. Journal of alternative and complementary medicine 16, 235–249, doi: 10.1089/acm.2008.0376 (2010).
    1. McCorry L. K. Physiology of the autonomic nervous system. American journal of pharmaceutical education 71, 78 (2007).
    1. Van Cauwenbergh D. et al.. Malfunctioning of the autonomic nervous system in patients with chronic fatigue syndrome: a systematic literature review. European journal of clinical investigation 44, 516–526, doi: 10.1111/eci.12256 (2014).
    1. Stein P. K. & Kleiger R. E. Insights from the study of heart rate variability. Annual review of medicine 50, 249–261, doi: 10.1146/annurev.med.50.1.249 (1999).
    1. Meeus M. et al.. Heart rate variability in patients with fibromyalgia and patients with chronic fatigue syndrome: a systematic review. Seminars in arthritis and rheumatism 43, 279–287, doi: 10.1016/j.semarthrit.2013.03.004 (2013).
    1. Hui K. K. et al.. Acupuncture mobilizes the brain’s default mode and its anti-correlated network in healthy subjects. Brain research 1287, 84–103, doi: 10.1016/j.brainres.2009.06.061 (2009).
    1. Nishijo K., Mori H., Yosikawa K. & Yazawa K. Decreased heart rate by acupuncture stimulation in humans via facilitation of cardiac vagal activity and suppression of cardiac sympathetic nerve. Neuroscience letters 227, 165–168 (1997).
    1. Wang J. D., Kuo T. B. & Yang C. C. An alternative method to enhance vagal activities and suppress sympathetic activities in humans. Autonomic neuroscience : basic & clinical 100, 90–95 (2002).
    1. Kimura Y. & Hara S. The effect of electro-acupuncture stimulation on rhythm of autonomic nervous system in dogs. The Journal of veterinary medical science/the Japanese Society of Veterinary Science 70, 349–352 (2008).
    1. Chung J. W., Yan V. C. & Zhang H. Effect of acupuncture on heart rate variability: a systematic review. Evidence-based complementary and alternative medicine : eCAM 2014, 819871, doi: 10.1155/2014/819871 (2014).
    1. MacPherson H. et al.. Standards for reporting interventions in controlled trials of acupuncture: the STRICTA recommendations. Complementary therapies in medicine 9, 246–249, doi: 10.1054/ctim.2001.0488 (2001).
    1. MacPherson H. et al.. Revised STandards for Reporting Interventions in Clinical Trials of Acupuncture (STRICTA): extending the CONSORT statement. PLoS medicine 7, e1000261, doi: 10.1371/journal.pmed.1000261 (2010).
    1. Cheng C. W. et al.. Extending the CONSORT Statement to moxibustion. Journal of integrative medicine 11, 54–63, doi: 10.3736/jintegrmed2013009 (2013).
    1. So R. C., Ng J. K. & Ng G. Y. Effect of transcutaneous electrical acupoint stimulation on fatigue recovery of the quadriceps. European journal of applied physiology 100, 693–700, doi: 10.1007/s00421-007-0463-2 (2007).
    1. Kim H. G., Yoo S. R., Park H. J. & Son C. G. Indirect moxibustion (CV4 and CV8) ameliorates chronic fatigue: a randomized, double-blind, controlled study. Journal of alternative and complementary medicine 19, 134–140, doi: 10.1089/acm.2011.0503 (2013).
    1. Kong J. et al.. Acupuncture de qi, from qualitative history to quantitative measurement. Journal of alternative and complementary medicine 13, 1059–1070, doi: 10.1089/acm.2007.0524 (2007).
    1. Schwartz J. E., Jandorf L. & Krupp L. B. The measurement of fatigue: a new instrument. Journal of psychosomatic research 37, 753–762 (1993).
    1. Yang C. M. & Wu C. H. The situational fatigue scale: a different approach to measuring fatigue. Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation 14, 1357–1362 (2005).
    1. Kreibig S. D. Autonomic nervous system activity in emotion: a review. Biological psychology 84, 394–421, doi: 10.1016/j.biopsycho.2010.03.010 (2010).
    1. Pomeranz B. et al.. Assessment of autonomic function in humans by heart rate spectral analysis. The American journal of physiology 248, H151–153 (1985).
    1. Malliani A., Pagani M. & Lombardi F. Physiology and clinical implications of variability of cardiovascular parameters with focus on heart rate and blood pressure. The American journal of cardiology 73, 3C–9C (1994).
    1. Boneva R. S. et al.. Higher heart rate and reduced heart rate variability persist during sleep in chronic fatigue syndrome: a population-based study. Autonomic neuroscience : basic & clinical 137, 94–101, doi: 10.1016/j.autneu.2007.08.002 (2007).
    1. Litscher G. et al.. The Future of Acupuncture Moxibustion: A Transcontinental Three-Center Pilot Study Using High-Tech Methods. Medical Acupuncture 21, 115–121, doi: 10.1089 =acu.2009.0665 (2009).
    1. Guo K. et al.. Comparison of the effects of pretreatment with repeated electroacupuncture at GV20 and ST36 on fatigue in rats. Acupuncture in medicine : journal of the British Medical Acupuncture Society, doi: 10.1136/acupmed-2014-010686 (2015).
    1. Lin Z. P. et al.. Effects of acupuncture stimulation on recovery ability of male elite basketball athletes. The American journal of Chinese medicine 37, 471–481, doi: 10.1142/S0192415X09006989 (2009).
    1. Toda S. Investigation of electroacupuncture and manual acupuncture on carnitine and glutathione in muscle. Evidence-based complementary and alternative medicine : eCAM 2011, 297130, doi: 10.1093/ecam/nep071 (2011).
    1. Fan A. Y. The methodology flaws in Hinman’s acupuncture clinical trial, Part III: Sample size calculation. Journal of integrative medicine 13, 209–211, doi: 10.1016/S2095-4964(15)60184-4 (2015).
    1. Hui K. K. et al.. Monitoring acupuncture effects on human brain by FMRI. Journal of visualized experiments : JoVE doi: 10.3791/1190 (2010).

Source: PubMed

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