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Cited by 34Acupuncture Treatment Research StudiesMedicinal Plant Extracts EffectsTreatment of Major Depression

Effect of Electroacupuncture on Reuptake of Serotonin via miRNA-16 Expression in a Rat Model of Depression

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Zhao, Jun, Tian, Huiling, Song, Hongtao, Wang, Xu, Luo, Tong, Ai, Liya, Fang, Yumin, Zhao, Jianghao +2 more·2019·Evidence-Based Complementary and Alternative Medicine
DOI 10.1155/2019/7124318PMC PMC6942800
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Abstract

The current study aimed to investigate the effects and mechanisms of electroacupuncture (EA) treatment applied to Bai hui (GV20) and Yin tang (GV29) acupoints (1 mA, 2 Hz, continuous wave, 20 minutes) for 28 days in a rat model of chronic unpredictable mild stress (CUMS) on reuptake of serotonin (5-hydroxytryptamine (5-HT)) and miRNA-16 levels in the hippocampus and serum. Rats were housed in individual cages, and CUMS was used to establish a rat model of depression. After EA treatment for 4 weeks, behavioral changes and indices including 5-HT transporter (SERT), 5-HT, and miRNA-16 levels in the hippocampus and serum were examined. The EA treatment significantly improved base levels of sucrose preference and exploratory behavior and significantly decreased SERT protein and mRNA expression in the hippocampus of depressed rats. Significantly increased 5-HT levels were observed, and miRNA-16 levels were significantly decreased in the hippocampus and serum of depressed rats. In conclusion, the antidepressant effects of EA treatment may be affected via inhibition of 5-HT reuptake, upregulation of 5-HT levels, and inhibition of miRNA-16 expression in the hippocampus and serum.

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  • miR-16 upregulation in depression inhibits translation of the serotonin transporter gene, affecting serotonin function in the hippocampus.

    “miR-16 upregulation in depression inhibits the translation of the serotonin transporter (SERT) gene, affecting serotonin function in the hippocampus.285,286”

    From Epigenetic regulation in major depression and other stress-related disorders: molecular mechanisms, clinical relevance and therapeutic potential (2023) · cites this paper as [286]

    The Introduction identifies miRNA-16 as a posttranscriptional inhibitor of SERT, and the Results (section 3.4) report increased hippocampal miRNA-16 in a rat model of depression. The Discussion says miRNA-16 regulates serotonin signaling, but also states that this study did not directly investigate its relationship with SERT mRNA in the hippocampus. The claim presents that mechanism in depression more definitively and broadly than this evidence establishes. (LLM, conf=0.83)

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Research works printed but not linked: 64

  1. [1]Valdés-Tovar M. Estrada-Reyes R. Solís-Chagoyán H. Circadian modulation of neuroplasticity by melatonin: a target in the treatment of depression British Journal of Pharmacology 2018 175 16 3200 3208 10.1111/bph.14197 2-s2.0-85045728861 29512136 PMC6057892 · DOI
  2. [2]Kirmayer L. J. Gomez-Carrillo A. Veissière S. Culture and depression in global mental health: an ecosocial approach to the phenomenology of psychiatric disorders Social Science & Medicine 2017 183 163 168 10.1016/j.socscimed.2017.04.034 2-s2.0-85018240732 28478959 · DOI
  3. [3]Heu U. Bogren M. Wang A. G. Bradvik L. Aspects of additional psychiatric disorders in severe depression/melancholia: a comparison between suicides and controls and general pattern International Journal of Environmental Research and Public Health 2018 15 7 p. 1299 10.3390/ijerph15071299 2-s2.0-85049084459 PMC6068998 29933593 · DOI
  4. [4]Videnova V. Manuseva N. Gjorgjevikj D. Isjanovski V. Screening for depression in medical students and sports academy students European Neuropsychopharmacology 2016 26 p. S389 10.1016/s0924-977x(16)31343-8 · DOI
  5. [5]Wigner P. Czarny P. Galecki P. Su K.-P. Sliwinski T. The molecular aspects of oxidative & nitrosative stress and the tryptophan catabolites pathway (TRYCATs) as potential causes of depression Psychiatry Research 2018 262 566 574 10.1016/j.psychres.2017.09.045 2-s2.0-85029749432 28951145 · DOI
  6. [6]Stringaris A. Editorial: what is depression? Journal of Child Psychology and Psychiatry 2017 58 12 1287 1289 10.1111/jcpp.12844 2-s2.0-85034094326 29148049 · DOI
  7. [8]Samuels B. A. Leonardo E. D. Dranovsky A. Global state measures of the dentate gyrus gene expression system predict antidepressant-sensitive behaviors PLoS One 2014 9 1 e85136 10.1371/journal.pone.0085136 2-s2.0-84898439318 PMC3894967 24465494 · DOI
  8. [9]van der Watt G. Laugharne J. Janca A. Complementary and alternative medicine in the treatment of anxiety and depression Current Opinion in Psychiatry 2008 21 1 37 42 10.1097/yco.0b013e3282f2d814 2-s2.0-40349113165 18281839 · DOI
  9. [10]Duan D. Yang X. Ya T. Chen L. Hippocampal gene expression in a rat model of depression after electroacupuncture at the Baihui and Yintang acupoints Neural Regeneration Research 2014 9 1 76 83 10.4103/1673-5374.125333 2-s2.0-84896274641 25206746 PMC4146319 · DOI
  10. [12]Jing Q. K. Saiyin C. K. T. Yao H. J. Effect of electroacupuncture on expression of phosphodiesterase 4 and subtypes in hippocampus in rats with chronic stress depression Chinese Journal of Rehabilitation Theory and Practice 2016 22 9 1011 1014
  11. [13]Yong J. Liang L. Ming-qiang Z. The effects of electroacupuncture at Baihui and Yintang acupoints on delirium and emergence agitation in neonatal rats after sevoflurane exposure Practical Journal of Clinical Medicine 2018 15 4 12 14
  12. [14]Ciranna L. Serotonin as a modulator of glutamate- and GABA-mediated neurotransmission: implications in physiological functions and in pathology Current Neuropharmacology 2006 4 2 101 114 10.2174/157015906776359540 2-s2.0-33646559827 18615128 PMC2430669 · DOI
  13. [15]Lazary J. Serotonin transporter gene and negative life change events are associated with depressive phenotype Neuropsychopharmacologia Hungarica 2010 12 2 347 354 20606244
  14. [16]Bianchi M. Moser C. Lazzarini C. Vecchiato E. Crespi F. Forced swimming test and fluoxetine treatment: in vivo evidence that peripheral 5-HT in rat platelet-rich plasma mirrors cerebral extracellular 5-HT levels, whilst 5-HT in isolated platelets mirrors neuronal 5-HT changes Experimental Brain Research 2002 143 2 191 197 10.1007/s00221-001-0979-3 2-s2.0-0036197934 11880895 · DOI
  15. [17]Zhuang X. Xu H. Fang Z. Xu C. Xue C. Hong X. Platelet serotonin and serotonin transporter as peripheral surrogates in depression and anxiety patients European Journal of Pharmacology 2018 834 213 220 10.1016/j.ejphar.2018.07.033 2-s2.0-85050530403 30031795 · DOI
  16. [18]Maurer-Spurej E. Pittendreigh C. Solomons K. The influence of selective serotonin reuptake inhibitors on human platelet serotonin Thrombosis and Haemostasis 2004 91 1 119 128 10.1160/th03-05-0330 14691577 · DOI
  17. [19]Chen J.-X. Pan H. Rothman T. P. Wade P. R. Gershon M. D. Guinea pig 5-HT transporter: cloning, expression, distribution, and function in intestinal sensory reception American Journal of Physiology-Gastrointestinal and Liver Physiology 1998 275 3 G433 G448 10.1152/ajpgi.1998.275.3.g433 9724254 · DOI
  18. [20]Zhong H. Haddjeri N. Sánchez C. Escitalopram, an antidepressant with an allosteric effect at the serotonin transporter—a review of current understanding of its mechanism of action Psychopharmacology 2012 219 1 1 13 10.1007/s00213-011-2463-5 2-s2.0-84856639838 21901317 · DOI · Paper page
  19. [21]Kriegebaum C. Gutknecht L. Schmitt A. Lesch K.-P. Reif A. Serotonin now: part 1. Neurobiology and developmental genetics Fortschritte der Neurologie Psychiatrie 2010 78 6 319 331 10.1055/s-0029-1245240 2-s2.0-77953149583 20340067 · DOI
  20. [22]Tao Z. Zhang Y.-W. Agyiri A. Rudnick G. Ligand effects on cross-linking support a conformational mechanism for serotonin transport Journal of Biological Chemistry 2009 284 49 33807 33814 10.1074/jbc.m109.071977 2-s2.0-71749088620 19837674 PMC2797150 · DOI
  21. [23]Lau T. Schloss P. Differential regulation of serotonin transporter cell surface expression Wiley Interdisciplinary Reviews: Membrane Transport and Signaling 2012 1 3 259 268 10.1002/wmts.10 2-s2.0-84879194520 · DOI
  22. [24]Descarries L. Riad M. Effects of the antidepressant fluoxetine on the subcellular localization of 5-HT 1A receptors and SERT Philosophical Transactions of the Royal Society B: Biological Sciences 2012 367 1601 2416 2425 10.1098/rstb.2011.0361 2-s2.0-84864245394 PMC3405674 22826342 · DOI
  23. [25]Bowman M. A. Daws L. C. Targeting serotonin transporters in the treatment of juvenile and adolescent depression Frontiers in Neuroscience 2019 13 p. 156 10.3389/fnins.2019.00156 2-s2.0-85065821357 PMC6401641 30872996 · DOI
  24. [26]Zhang Y. Liu F. Xiao H. Fluorine-18 labeled diphenyl sulfide derivatives for imaging serotonin transporter (SERT) in the brain Nuclear Medicine and Biology 2018 66 1 9 10.1016/j.nucmedbio.2018.06.008 2-s2.0-85051025780 30096380 · DOI
  25. [27]Pratuangdejkul J. Schneider B. Launay J.-M. Kellermann O. Manivet P. Computational approaches for the study of serotonin and its membrane transporter SERT: implications for drug design in neurological sciences Current Medicinal Chemistry 2008 15 30 3214 3227 10.2174/092986708786848523 2-s2.0-61549119818 19075665 · DOI
  26. [28]Steinkellner T. Montgomery T. R. Hofmaier T. Amphetamine action at the cocaine- and antidepressant-sensitive serotonin transporter is modulated by αCaMKII Journal of Neuroscience 2015 35 21 8258 8271 10.1523/jneurosci.4034-14.2015 2-s2.0-84930260523 26019340 PMC4444546 · DOI
  27. [29]Pinheiro I. L. da Silva A. I. Reginato A. Neonatal fluoxetine exposure modulates serotonergic neurotransmission and disturb inhibitory action of serotonin on food intake Behavioural Brain Research 2019 357-358 65 70 10.1016/j.bbr.2017.07.038 2-s2.0-85027280611 28756214 · DOI
  28. [30]Tafrihi M. Hasheminasab E. MiRNAs: biology, biogenesis, their web-based tools, and databases MicroRNA 2019 8 1 4 27 10.2174/2211536607666180827111633 2-s2.0-85060044579 30147022 · DOI
  29. [31]Dwivedi Y. Pathogenetic and therapeutic applications of microRNAs in major depressive disorder Progress in Neuro-Psychopharmacology and Biological Psychiatry 2016 64 341 348 10.1016/j.pnpbp.2015.02.003 2-s2.0-84941181377 25689819 PMC4537399 · DOI
  30. [32]Akhtar M. M. Micolucci L. Islam M. S. Olivieri F. Procopio A. D. A practical guide to miRNA target prediction Methods in Molecular Biology 2019 1970 New York, NY, USA Humana Press 1 13 10.1007/978-1-4939-9207-2_1 2-s2.0-85064532910 30963484 · DOI
  31. [33]Hou J. An X. Song Y. Gao T. Lei Y. Cao B. Two mutations in the caprine MTHFR 3′UTR regulated by microRNAs are associated with milk production traits PLoS One 2015 10 7 e0133015 10.1371/journal.pone.0133015 2-s2.0-84941308995 PMC4505847 26186555 · DOI
  32. [34]Cao D. D. Li L. Chan W. Y. MicroRNAs: key regulators in the central nervous system and their implication in neurological diseases International Journal of Molecular Sciences 2016 17 6 p. 842 10.3390/ijms17060842 2-s2.0-84971554717 PMC4926376 27240359 · DOI
  33. [35]Giridharan V. V. Thandavarayan R. A. Fries G. R. Newer insights into the role of miRNA a tiny genetic tool in psychiatric disorders: focus on post-traumatic stress disorder Translational Psychiatry 2016 6 11 p. e954 10.1038/tp.2016.220 2-s2.0-85019742162 PMC5314131 27845777 · DOI
  34. [36]Kichukova T. M. Popov N. T. Ivanov H. Y. Vachev T. I. Circulating microRNAs as a novel class of potential diagnostic biomarkers in neuropsychiatric disorders Folia Medica 2015 57 3-4 159 172 10.1515/folmed-2015-0035 2-s2.0-84978865156 27180342 · DOI
  35. [37]Si Y. Song Z. Sun X. Wang J.-H. microRNA and mRNA profiles in nucleus accumbens underlying depression versus resilience in response to chronic stress American Journal of Medical Genetics Part B: Neuropsychiatric Genetics 2018 177 6 563 579 10.1002/ajmg.b.32651 2-s2.0-85052518726 PMC6175222 30105773 · DOI
  36. [38]Tamarapu Parthasarathy P. Galam L. Huynh B. MicroRNA 16 modulates epithelial sodium channel in human alveolar epithelial cells Biochemical and Biophysical Research Communications 2012 426 2 203 208 10.1016/j.bbrc.2012.08.063 2-s2.0-84866427933 22940131 PMC3536022 · DOI
  37. [39]Baudry A. Mouillet-Richard S. Schneider B. Launay J.-M. Kellermann O. miR-16 targets the serotonin transporter: a new facet for adaptive responses to antidepressants Science 2010 329 5998 1537 1541 10.1126/science.1193692 2-s2.0-77956677763 20847275 · DOI · Paper page
  38. [40]Yang Y. Hu Z. Du X. miR-16 and fluoxetine both reverse autophagic and apoptotic change in chronic unpredictable mild stress model rats Frontiers in Neuroscience 2017 11 p. 428 10.3389/fnins.2017.00428 2-s2.0-85026626063 PMC5524920 28790887 · DOI
  39. [41]Manzella C. R. Singhal M. Kumar A. Sa1429 gene expression and miRNA profiling in ileal mucosa of SERT knock-out mouse using microarray approaches Gastroenterology 2016 150 4 p. S313 10.1016/s0016-5085(16)31097-6 · DOI
  40. [42]Bai M. Zhu X. Zhang Y. Abnormal hippocampal BDNF and miR-16 expression is associated with depression-like behaviors induced by stress during early life PLoS One 2012 7 10 e46921 10.1371/journal.pone.0046921 2-s2.0-84867301311 PMC3466179 23056528 · DOI
  41. [43]Gheysarzadeh A. Sadeghifard N. Afraidooni L. Serum-based microRNA biomarkers for major depression: MiR-16, miR-135a, and miR-1202 Journal of Research in Medical Sciences 2018 23 1 p. 69 10.4103/jrms.jrms_879_17 30181751 PMC6116664 · DOI
  42. [44]Willner P. Towell A. Sampson D. Sophokleous S. Muscat R. Reduction of sucrose preference by chronic unpredictable mild stress, and its restoration by a tricyclic antidepressant Psychopharmacology 1987 93 3 358 364 10.1007/bf00187257 2-s2.0-0023636527 3124165 · DOI · Paper page
  43. [45]Yu S. G. Guo Y. Experimental Acupuncture Science 2009 Shanghai, China Shanghai Science and Technology Press
  44. [46]Cao J. Han X. Wang X. Effects of electro-acupuncture (EA) on the behavioral changes and presenilian-1 (PS1) level in hippocampus of SAMP8 mice Integrative Medicine Research 2015 4 1 p. 54 10.1016/j.imr.2015.04.041 · DOI
  45. [47]Han X. Wu H. Yin P. Electroacupuncture restores hippocampal synaptic plasticity via modulation of 5-HT receptors in a rat model of depression Brain Research Bulletin 2018 139 256 262 10.1016/j.brainresbull.2018.03.004 2-s2.0-85044172098 29524471 · DOI
  46. [48]Wang D. Xu X. Wu Y. SMIP004: a compound with antidepressant-like activities in mouse models European Journal of Pharmacology 2019 843 260 267 10.1016/j.ejphar.2018.11.039 2-s2.0-85057578871 30502341 · DOI
  47. [49]Tong J. Zhou Z. Qi W. Antidepressant effect of helicid in chronic unpredictable mild stress model in rats International Immunopharmacology 2019 67 13 21 10.1016/j.intimp.2018.11.052 2-s2.0-85057625764 30530165 · DOI
  48. [50]Lin Z. Shi L. Lu J. Effects of curcumin on glucose metabolism in the brains of rats subjected to chronic unpredictable stress: a 18 F-FDG micro-PET study BMC Complementary and Alternative Medicine 2013 13 1 p. 202 PMC3751057 23914948
  49. [51]Katz R. J. Roth K. A. Carroll B. J. Acute and chronic stress effects on open field activity in the rat: implications for a model of depression Neuroscience & Biobehavioral Reviews 1981 5 2 247 251 10.1016/0149-7634(81)90005-1 2-s2.0-0019502653 7196554 · DOI · Paper page
  50. [52]Jiang H. Zhang X. Wang Y. Mechanisms underlying the antidepressant response of acupuncture via PKA/CREB signaling pathway Neural Plasticity 2017 2017 11 4135164 10.1155/2017/4135164 2-s2.0-85018944235 PMC5412208 28523193 · DOI
  51. [53]Guo T.-Y. Liu L.-J. Xu L.-Z. Alterations of the daily rhythms of HPT axis induced by chronic unpredicted mild stress in rats Endocrine 2015 48 2 637 643 10.1007/s12020-014-0314-y 2-s2.0-84939872038 24929805 · DOI
  52. [54]Li W. Zhu Y. Saud S. M. Electroacupuncture relieves depression-like symptoms in rats exposed to chronic unpredictable mild stress by activating ERK signaling pathway Neuroscience Letters 2017 642 43 50 10.1016/j.neulet.2017.01.060 2-s2.0-85012293806 28147225 · DOI
  53. [55]Lu Q. Mouri A. Yang Y. Chronic unpredictable mild stress-induced behavioral changes are coupled with dopaminergic hyperfunction and serotonergic hypofunction in mouse models of depression Behavioural Brain Research 2019 372 112053 10.1016/j.bbr.2019.112053 2-s2.0-85068582403 31288060 · DOI
  54. [56]Zhu Y. Liu Q. Y. Zhuo L. S. Influence of electroacupuncture of “Baihui” (GV 20) and “Sanyinjiao” (SP 6) on hippocampal 5-HT and AChE immuno-activity in chronic depression rats Acupuncture Research 2009 34 1 16 20 19526802
  55. [57]Zhang H. Z. Liang Y. L. Hang X. J. Effect of electroacupuncture intervention at different time-points of post-modeling on hippocampal monoamine neurotransmitter levels in mice with vascular dementia Acupuncture Research 2014 39 2 142 147 24818499
  56. [58]Launay J. M. Mouillet-Richard S. Baudry A. Pietri M. Kellermann O. Raphe-mediated signals control the hippocampal response to SRI antidepressants via miR-16 Translational Psychiatry 2011 1 11 p. e56 10.1038/tp.2011.54 2-s2.0-82055164291 PMC3309472 22833211 · DOI
  57. [59]Issler O. Chen A. Determining the role of microRNAs in psychiatric disorders Nature Reviews Neuroscience 2015 16 4 201 212 10.1038/nrn3879 2-s2.0-84925448484 25790865 · DOI · Paper page
  58. [60]Zurawek D. Kusmider M. Faron-Gorecka A. Time-dependent miR-16 serum fluctuations together with reciprocal changes in the expression level of miR-16 in mesocortical circuit contribute to stress resilient phenotype in chronic mild stress—an animal model of depression European Neuropsychopharmacology 2016 26 1 23 36 10.1016/j.euroneuro.2015.11.013 2-s2.0-84959171335 26628105 · DOI
  59. [61]Mahar I. Bambico F. R. Mechawar N. Nobrega J. N. Stress, serotonin, and hippocampal neurogenesis in relation to depression and antidepressant effects Neuroscience & Biobehavioral Reviews 2014 38 173 192 10.1016/j.neubiorev.2013.11.009 2-s2.0-84891625665 24300695 · DOI · Paper page
  60. [62]Ahmad A. Rasheed N. Banu N. Palit G. Alterations in monoamine levels and oxidative systems in frontal cortex, striatum, and hippocampus of the rat brain during chronic unpredictable stress Stress 2010 13 4 355 364 10.3109/10253891003667862 2-s2.0-77953439761 20536337 · DOI
  61. [64]Young L. W. Darios E. S. Watts S. W. An immunohistochemical analysis of SERT in the blood-brain barrier of the male rat brain Histochemistry and Cell Biology 2015 144 4 321 329 10.1007/s00418-015-1343-1 2-s2.0-84942373825 26223876 PMC4575874 · DOI
  62. [65]Bing-rong G. Lan Y. Jia-li L. Xue-mei Q. Xiao-xia G. Change of serum neurotransmitter level in depression rats induced by chronic unpredictable stress Chinese Journal of Pharmacology and Toxicology 2013 27 2 138 144
  63. [66]Yildiz G. Senturk M. B. Yildiz P. Cakmak Y. Budak M. S. Cakar E. Serum serotonin, leptin, and adiponectin changes in women with postpartum depression: controlled study Archives of Gynecology and Obstetrics 2017 295 4 853 858 10.1007/s00404-017-4313-0 2-s2.0-85013361069 28224268 · DOI
  64. [67]Baudry A. Mouillet-Richard S. Schneider B. Launay J.-M. Kellermann O. miR-16-a key for adaptive responses of neurons to fluoxetine Médecine/Sciences 2011 27 2 128 131 10.1051/medsci/2011272128 2-s2.0-79953130220 21382318 · DOI

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Authors
Zhao, J., Tian, H., Song, H., Wang, X., Luo, T., Ai, L., Fang, Y., Zhao, J., Chao-ke-tu, S., & Li, Z.
Affiliations
  • Beijing University of Chinese Medicine (CN)
  • Inner Mongolia People's Hospital (CN)
  • Inner Mongolia International Mongolian Hospital (CN)
  • Inner Mongolia International Mongolian Hospital, Hohhot, Inner Mongolia 010065, China
Corresponding author
Li, Zhigang
ORCID
Venue
Evidence-Based Complementary and Alternative Medicine
Publisher
Wiley
Published
2019-12-24
Volume
2019
Pages
1-16
ISSN
  • 1741-427X (ISSN-L)
  • 1741-4288
DOI
10.1155/2019/7124318
PMC
PMC6942800
OpenAlex
W2996630759
Cited by
34
References
2
Citations by year
2026: 2 · 2025: 4 · 2024: 8 · 2023: 5 · 2022: 6 · 2021: 4 · 2020: 4 · 2018: 1
FWCI
4.51
Type
journal article
Language
en
Open access
Licence
Locations
  • Evidence-based Complementary and Alternative Medicine (publishedVersion, cc-by)
  • Europe PMC (PubMed Central) (publishedVersion, cc-by)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion)
Funders
National Natural Science Foundation of China (81760909)
Topics
  • Health Sciences › Medicine › Complementary and alternative medicine › Acupuncture Treatment Research Studies
  • Health Sciences › Medicine › Complementary and alternative medicine › Medicinal Plant Extracts Effects
  • Health Sciences › Medicine › Pharmacology › Treatment of Major Depression
Keywords
electroacupuncture, depression, serotonin uptake, 5-HT transporter, serotonin transporter, hippocampus, chronic unpredictable mild stress, antidepressant effects, sucrose preference, exploratory behavior

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