| Literature DB >> 34992414 |
Ningcen Li1,2, Yi Guo1,3,4, Yinan Gong1,2,3, Yue Zhang1,2, Wen Fan5, Kaifang Yao1,2, Zhihan Chen1,2, Baomin Dou1,2, Xiaowei Lin1,3,4, Bo Chen1,2,3, Zelin Chen1,2,3, Zhifang Xu1,2,3, Zhongxi Lyu1,2,3.
Abstract
Inflammation plays a significant role in the occurrence and development of multiple diseases. This study comprehensively reviews and presents literature from the last five years, showing that acupuncture indeed exerts strong anti-inflammatory effects in multiple biological systems, namely, the immune, digestive, respiratory, nervous, locomotory, circulatory, endocrine, and genitourinary systems. It is well known that localized acupuncture-mediated anti-inflammatory effects involve the regulation of multiple populations and functions of immune cells, including macrophages, granulocytes, mast cells, and T cells. In acupuncture stimulation, macrophages transform from the M1 to the M2 phenotype and the negative TLR4 regulator PPARγ is activated to inhibit the intracellular TLR/MyD88 and NOD signaling pathways. The downstream IκBα/NF-κB and P38 MAPK pathways are subsequently inhibited by acupuncture, followed by suppressed production of inflammasome and proinflammatory mediators. Acupuncture also modulates the balance of helper T cell populations. Furthermore, it inhibits oxidative stress by enhancing SOD activity via the Nrf2/HO-1 pathway and eliminates the generation of oxygen free radicals, thereby preventing inflammatory cell infiltration. The anti-inflammatory effects of acupuncture on different biological systems are also specific to individual organ microenvironments. As part of its anti-inflammatory action, acupuncture deforms connective tissue and upregulates the secretion of various molecules in acupoints, further activating the NF-κB, MAPK, and ERK pathways in mast cells, fibroblasts, keratinocytes, and monocytes/macrophages. The somatic afferents present in acupuncture-activated acupoints also convey sensory signals to the spinal cord, brainstem, and hypothalamic neurons. Upon information integration in the brain, acupuncture further stimulates multiple neuro-immune pathways, including the cholinergic anti-inflammatory, vagus-adrenal medulla-dopamine, and sympathetic pathways, as well as the hypothalamus-pituitary-adrenal axis, ultimately acting immune cells via the release of crucial neurotransmitters and hormones. This review provides a scientific and reliable basis and viewpoints for the clinical application of acupuncture in various inflammatory conditions.Entities:
Keywords: acupuncture; immune; inflammation; sympathetic nerve; vagus
Year: 2021 PMID: 34992414 PMCID: PMC8710088 DOI: 10.2147/JIR.S341581
Source DB: PubMed Journal: J Inflamm Res ISSN: 1178-7031
Figure 1Flow chart of the search strategy and process.
Anti-Inflammatory Actions of Acupuncture in Immune System Diseases
| Refs. | Inflammatory Model | Intervention Methods | Acupoints | Acupuncture Parameters | Inflammation-Related Behaviors | Test Sites | Biochemical Measurements |
|---|---|---|---|---|---|---|---|
| Dong, 2018 | RA | EA | ST36, BL60 | 2 Hz, 2.0 mA, 30 min, 4 weeks | Paw swelling, arthritis index | Ankle tissues | TLR4↓, MyD88↓, NF-κB↓ |
| Du, 2019 | RA | EA | ST36, SP6 | 2Hz, 30 min, from day 35 to day 49 after the first immunization | — | Ankle joint, serum | TNF-α↓, RANKL↓, PKA↓, NF-κB↓, ERK1/2↑, A2AR↑ |
| Xu, 2018 | RA | MA | ST36 | 3 spins per second, 2 min with a 5-min interval, 28 min, day 1–7 (once a day) and day 8–15 (once every other day) | TWL, Paw swelling | Serum, hind paw | IL-1β↓, IL-6↓, TNF-α↓ |
| Yu, 2020 | RA | EA | ST36, SP6 | 2/100 Hz, 2.0 mA, 20 min | MWT, TWL | Hind paw, spinal cord | IL-1β↓, NLRP3↓, TNF-α↓, L-10↑, CD11b+F4/80+↓, CD11b+Ly6G+↓, CD4+CD25+Foxp3+↑ |
| Su, 2019 | RA | EA | ST36, GB39 | 2 Hz, 15 min, every other day, 16 days | Arthritic index, paw swelling | Synovial tissues | Bax↑, Noxa↑, p53↑, PUMA↑, MDM2↓ |
| Torres, 2014 | Sepsis | EA pretreatment | ST36 | 15min | Survival rate | Serum | TNF-α↓, MCP-1↓, IL-6↓, INF-γ↓ |
| Chen, 2016 | SAE | EA pretreatment | ST36, GV20 | 2–15Hz, 2 mA, 30 min | MWM | Brain tissues, serum, hippocampus | MDA↓, SOD↓, CAT↓, TLR-4↓, NF-κB↓, IL-6↓, TNF-α↓, Iba 1↓ |
| Zhang, 2018 | Sepsis | EA | ST36 | 2.0 mA, 2–100 Hz, 1 hour | — | Cardiac muscles | TNF-α↓, NO↓, MPO↓, CK-MB↓ |
| Xie, 2020 | Sepsis | EA | ST36, LI11, ST25 | 3 Hz, 15 min | — | Serum, mesenteric lymph nodes | IL-10↓, TNF-α↓, CD3+CD4+↑, CD3+CD8+↓ |
Notes: ↑, upregulated by acupuncture; ↓, downregulated by acupuncture.
Abbreviations: RA, rheumatoid arthritis; SAE, sepsis-associated encephalopathy; MWT, mechanical withdrawal threshold; TWL, thermal withdrawal latency; MWM, Morris water maze; NLRP3, NOD-like receptor protein 3; TLR4, toll like receptors 4; MyD88, myeloid differentiation factor 88; NF-κB, nuclear factor kappa-B; RANKL, receptor activator of nuclear factor-κB ligand; NO, nitric oxide; MPO, myeloperoxidase; MCP-1, monocyte chemotactic protein 1; INF-γ, interferon-γ; MDA, malondialdehyde; SOD, superoxide dismutase; CAT, catalase; Iba 1, ionized calcium binding adaptor molecule; CK-MB, creatine kinase-MB; ST36, Zusanli; SP6, Sanyinjiao; BL60, Kunlun; GB39, Xuanzhong; LI11, Quchi; ST25, Tianshu; GV20, Baihui.
Anti-Inflammatory Actions of Acupuncture in Digestive System Diseases
| Refs. | Inflammatory Model | Intervention Methods | Acupoints | Acupuncture Parameters | Inflammation-Related Behaviors | Test Sites | Biochemical Measurements |
|---|---|---|---|---|---|---|---|
| Song, 2019 | Colitis | EA | ST36 | 30 min | DAI | Colonic tissues, serum | IL-1β↓, TNF-α↓, IL-6↓, IL-12↓, IL-17↓, IL-10↑, NLRP3↓, F4/80+CD16/ 32+↓, F480+CD16/ 32+CD206+↑, Caspase-1↓, Nrf2↑, HO-1↑ |
| Liu, 2019 | Colitis | EA | ST36 | 2 Hz, 1.0 mA, 15 min | DAI | Colonic tissues, plasma | TLR4↓, MyD88↓, claudin-1↑, ZO-1↑, adiponectin↑, TNF-α↓, IL-6↓, CRP↓, IFN-γ↓ |
| Deng, 2017 | POI | MA | ST36, SP6, LR3 | Rotated 30 s every 5 min, 15 min | Colonic smooth muscle cells | KIT↑, Ano1↑, miR-19a↓, IL-6↓ | |
| Song, 2020 | PI-IBS | EA | ST25, ST36 | 2/15 Hz, 0.5–1.0 mA, 30 min, 10 days | AWR | Colon tissues | IL-18↓ |
| Meng, 2019 | NAFLD | MA | ST36, CV4, KI1 | 60 rounds/min for 2 min, without retaining the needle | — | Liver tissues, serum | IL-1β↓, TNF-α↓, p-NF-κB↓, TG↓, FFA ↓, 8-OHdG↓, MDA↓, ROS↓ |
| Ma, 2020 | NAFLD | EA | ST40, GB34, SP6 | — | — | Liver tissues, serum | IL-1β↓, TNF-α↓, IL-6↓, Sirt1↑, p-NF-кB p65↓, p-IкBα↓, p-IKKα↓, p-IKKβ↓, ALT↓, AST↓, TG↓, TC↓ |
| Yang, 2020 | IBS | EA | ST36 | 100/5 Hz, 1.0 mA, 30 min, 5 days | VMR | Colonic tissue, serum | TLR4↓, MCT↓, IL-1β↓, IL-8↓ |
| Yang, 2020 | POI | EA | ST36, ST37, ST39, CV4 | 2, 10, 30, and 100 Hz, 1.0 mA, 20 min | Gastrointestinal transit measurements | Intestine, serum | TNF-α↓, IL-6↓, α-SMA↑, MPO↓ |
| Ramires, 2020 | Peritonitis | MA pretreatment | SP6 | Rotated for a few sec, 10 min | — | Peritoneal fluid, brainstem | MPO↓, TNF-α↓, IL-6↓, IL-10↑, IL-1β↓ |
| Li, 2018 | Liver ischemia-reperfusion injury | EA | LI4 | 2/100 Hz, 3.0 mA, 30 min | — | Liver tissues, serum | TNF-α↓, IL-6↓, MPO↓, ALT ↓ |
Notes: ↑, upregulated by acupuncture; ↓, downregulated by acupuncture.
Abbreviations: POI, postoperative ileus; PI-IBS, post inflammatory irritable bowel syndrome; NAFLD, nonalcoholic fatty liver disease; IBS, irritable bowel syndrome; DAI, disease activity index; AWR, abdominal withdrawal reflex; VMR, visceral motor reflex; ZO-1, zonula occludens 1; CRP, C-reactive protein; IFN-γ, Interferon γ; Nrf2, NFE-related factor 2; HO-1, Heme oxygenase-1; TG, triglyceride; FFA, free fatty acid; 8-OhdG, 8-hydroxy-2-deoxyguanosine; TC, total cholesterol; ROS, reactive oxygen species; Sirt1, sirtuin-1; ALT, alanine aminotransferase; AST, aspartate aminotransferase; MCT, mast cell tryptase; LR3, Taichong; CV4, Guanyuan; KI1, Yongquan; ST40, Fenglong; GB34, Yinlingquan; ST37, Shangjuxu; ST39, Xiajuxu; LI4, Hegu.
Anti-Inflammatory Actions of Acupuncture in Respiratory System Diseases
| Refs. | Inflammatory Model | Intervention Methods | Acupoints | Acupuncture Parameters | Inflammation-Related Behaviors | Test Sites | Biochemical Measurements |
|---|---|---|---|---|---|---|---|
| Feng, 2020 | ARDS | EA pre-treatment | LI4 | 2/100 Hz, 4.0 mA, 45 min | — | Lung tissues, serum, BALF | TNF-α↓, IL-1β↓, IL-6↓, MPO↓, PPARγ↑, MDA↓, SOD↑, GSH↑, Bax↓, Bcl-2↑, p-p65↓, p-IκBα↓, IκBα↑, PaO2↑ |
| Lou, 2020 | ALI | EA pre-treatment | ST36, SP6 | 2/15 Hz, 1.0 mA, dispersed waves, 30 min | Lung injury scores | Lung tissues | TNF-α↓, IL-1↓, IL-6↓, MPO↓, TLR4↓, p‐NF‐κB↓ |
| Gong, 2020 | ALI | EA | BL13, ST36 | 2/15Hz, 1.0 mA, disperse-dense wave, 15 min, 5 days | — | BALF, lung tissues, plasma | Nrf2↑, HO-1↑, p-p38/p38↑, SOD↑, GPX↑, CAT↑, MDA↓, Nrf2↑, HO-1↑ |
| Huang, 2019 | CPB | EA pre-treatment | BL13, ST36 | 2/15 Hz, 30 min | — | Lung tissues, serum, BALF | NLRP3↓, IL-1β↓ |
| Dhar, 2019 | CPB | EA pre-treatment | PC6, LI4 | 30 min | — | Lung tissues, serum | TNF-α↓, IL-18↓, IL-1β↓, NLRP3↓, Caspase-1↓, Caspase-8↓, p-Nrf2↓, MDA↓, SOD↑ |
| Ma, 2017 | CPB | EA pre-treatment | PC6, LI4 | 2/100 Hz, 0.5 ms pulse width, 30 min | — | Lung tissues | MPO↓, MDA↓, SOD↑, Caspase-3↓, p-p38/p38↓ |
| Li, 2015 | COPD | MA | BL13, BL23, Dingchuan | Twisted through 360°, 1 min every 5 min, 6 times | Pulmonary function (IC, PEF, MV) | Lung tissues, BALF | TNF-α↓, IL-8↓, HDAC2↑ |
| Dong, 2019 | Asthma | MA | GV14, BL12, BL13 | 30 min | Airway resistance, lung dynamic compliance | Lung tissues, serum | IL-10↑, IL-5↓, IL-13↓, IL-17↓, CD4+ IL-17A+↓, CD4+ Foxp3+↑, p-p38↓, p-p44/42↓ |
| Zhou, 2019 | Chronic sinusitis | EA | ST36, BL13, GV29, LI4 | 30 min, 10 days | — | Nasal tissues | IFN‑γ↑, IL‑10↑ |
| Dong, 2018 | Asthma | MA | GV14, BL12, BL13 | Manual manipulations every 10 min in 30 min | Airway resistance, lung dynamic compliance | Lung tissues, serum, BALF | TNF-α↓, IL-1β↓, IL-33↓, sST2↑, CD4+IL-17A+↓, CD4+Foxp3+↑ |
| Cui, 2020 | Asthma | MA | GV14, BL12, BL13 | Twisted 360°, 60 times/min, 5 times, 20 min | — | Serum, BALF | IL-5↓, IL-9↓, IL-13↓, IL-25↓, IL-33↓, sST2↑ |
| Nurwati, 2018 | Asthma | MA | BL13, ST36 | 15 min, 3 times/week, 6 weeks from 21st day after modeling | — | Peripheral blood | neutrophil↓, eosinophil↓ |
Notes: ↑, upregulated by acupuncture; ↓, downregulated by acupuncture.
Abbreviations: ARDS, acute respiratory distress syndrome; ALI, acute lung injury; CPB, cardiopulmonary bypass; COPD, chronic obstructive pulmonary disease; IC, inspiratory capacity; PEF, peak expiratory flow; MV, minute volume; BALF, bronchoalveolar lavage fluid; PPARγ, peroxisome proliferator-activated receptor γ; glutathione peroxidase; GPX, GSH, glutathione; HDAC2, histone deacetylase 2; sST2, soluble growth-stimulating expression gene 2 protein; BL13, Feishu; PC6, Neiguan; BL23, Shenshu; GV14, Dazhui; BL12, Fengmen; GV29, Yingxiang.
Anti-Inflammatory Actions of Acupuncture in Nervous System Diseases
| Refs. | Inflammatory Model | Intervention Methods | Acupoints | Acupuncture Parameters | Inflammation-Related Behaviors | Test Sites | Biochemical Measurements |
|---|---|---|---|---|---|---|---|
| Zhu, 2017 | SCI | EA pretreatment | GV9, GV6, GV2, GV1 | 60 Hz for 1.05 sec, 2 Hz for 2.85 sec, 20 min, every other day, 4 weeks | Assessment of Neurologic Dysfunction | Spinal cord | TNF-α↓, IL-1β↓, HMGB1↓ |
| Lu, 2016 | Depression | MA | GV20, PC6 | 2 times per second for 1 min in 10 min, once every other day, 4 weeks | SPT, OFT | Hippocampus, prefrontal cortex | NO↓, PGE2↓, iNOS↓, COX-2↓, NF-κB↓ |
| Ye, 2017 | TBI | EA | ST36, GV14 | 2/15 Hz, 1.0 mA, 30 min, 35 days | NSS, MWM | Hippocampal tissues | TLR4↓, Myd88↓, TRAF6↓, TRAM↓, TRIF↓, TNF-α↓, IL-1β↓, IL-6↓ |
| Cai, 2020 | Hemorrhagic stroke | Cross electro-nape-acupuncture (CENA) | GB20, TE17 | 30 min | Neurological functions, encephaledema | Brain tissue | RIPK1↓, p- RIPK3↓, p-MLKl↓, TNF-α↓, IL-6 ↓, IL-8↓ |
| Li, 2019 | Neuropathic pain | EA | ST36, BL60 | 2 Hz, 0.5–1.5 mA, 30 min | MWT, TWL | DRG | TLR4↓, MyD88↓, TRPV-1↓ |
| Zhou, 2020 | IS | EA | GV20, LI4, LR3 | 1.0 mA, 20 Hz for 5 min, 2 Hz for 30 min | Neurological function assessment | Ischemic cerebral cortex | ABIN1↑, IκBα↓, NF-κB p65↓, TNF-α↓, MCP-1↓, IL-1β↓ |
| Liu, 2020 | IS | EA | GV20, GV14 | 2/15 Hz, 1.0–2.0 mA, 30 min | — | Ischemic cerebral cortex | NF-κB↓, IL-1β↓, TNF-α↓ |
| Liu, 2016 | IS | EA | LI11, ST36 | 1–20 Hz, 0.2 mA, 30 min, 3 days | Assessment of neurological outcome | Ischemic cerebral cortex | NF-κB p65↓, p38 MAPK↓, MyD88↓, TNF-α↓, IL-1β↓, IL-6↓ |
| Jiang, 2017 | IS | EA | GV20, LI4, LR3 | 1.0 mA, 20 Hz for 5 min, 2 Hz for 30 min | Neurobehavioral Evaluation | Ischemic cerebral cortex | CYLD↑, NF-κB↓, TNF-α↓, IL-1β↓, CX3CL1↓ |
| Hu, 2020 | CPIP | EA | ST36, BL60 | 2 Hz, 0.5–1.5 mA, 30 min | MWT, TWL, Hind paw edema evaluation | Spinal dorsal horn | CXCL12↓, CXCR4↓ |
| Wang, 2020 | VD | MA | GV20, ST36 | 10 min, 2 weeks | MWM | Hippocampus, plasma | miR-93↓, TNF-α↓, IL-6↓, TLR4↓, MyD88↓, p-NF-κB p65↓ |
| Liu, 2016 | IS | EA | LI11, ST36 | 1/20 Hz, 30 min | Scoring of neurological deficits | Ischemic cerebral cortex | miR-9↓, NF-κB↓, TNF-α↓, IL-1β↓ |
| Wang, 2017 | MDD | MA | GV29, GV20 | 20 min, 28 days | OFT | Frontal Cortex | Related to genes |
| Liu, 2018 | Hemorrhagic stroke | MA | GV20, GB7 | 200 r/min for 5 min, 3 session | mNSS, encephaledema | Brain tissue | Syk↓, CARD9↓, Mincle↓, IL-1β↓ |
| Zhao, 2020 | Migraine | EA | GB20, GB34 | 2/15 Hz, 0.5–1.0 mA, 20 min | MWT | Dura mater, serum | COX2↓, CGRP↓, BDNF↓, IL-1β↓, IL-6↓, TNF-α↓ |
| Huang, 2017 | IS | EA | GV20, GV24 | 2/20 Hz, 0.2 mA, 30 min | Neurobehavioral assessment, MWM | Hippocampal CA1, ischemic cerebral cortex | P2X7R↑, P2Y1R↑, IL-10↑, IL-1β↓ |
| Wang, 2020 | AD | EA | GV20, BL23, KI3 | 2 Hz, 0.6 mA, 15 min, 2 months | MWM | Cortex | TNF-α↓, IL-6↓, IL-17↓, Aβ↓ |
| Cai, 2019 | AD | EA | KI3 | 2 Hz, 1.0 mA, 15 min, 6 times /2 weeks | Cognitive functions, Novel object recognition test, Y-maze tests | Prefrontal cortex | CD11b↓, GFAP↓, COX-2↓, HO-1↓, transferrin↓, Bax↓, Aβ↓ |
| Jiang, 2018 | AD | EA | GV20, GV26, EX-HN3 | 2 Hz, 0.6 mA, 15 days except the 8th day | — | Hippocampus | NLRP3↓, IL-1β↓, ASC↓, Caspase-1↓ |
| Yu, 2020 | PD | EA | CV12, RN7, ST36, LR3 | 100 Hz, 1.0 mA, 20 min, 14 days | Rotational behavior | Substantia nigra, striatum | COX-2↓, TNF-α↓, IL-1β↓ |
| Du, 2018 | VD | MA | ST36, GV20 | 2 times/sec, 30 sec, 2 weeks | MWM | Hippocampus | TXNIP↓, NLRP3 inflammasome↓, IL-1β↓, ROS↓ |
| Zhu, 2020 | TBI | MA | GV15, GV16, GV20, GV26, LI4 | 360° twisting range, 120–160 beats/min for 1 min, 15 min, twisted once every 5 min | — | Brain tissue | CD86↑, IL-1β↓, IL-6↓, TNF-α↓, ROCK2↓, RhoA↓ |
| Frantz, 2017 | Epilepsia | MA | GV20 | 2 spins/sec, 15 sec, 10 min | Behavioral seizure | Brain tissue | TNF-α↓, SOD↑, CAT↑ |
| Zhang, 2020 | Depression | EA | GV29, GV20 | 2 Hz, 30 min, 7 days | OFT, FST, SPT | Hippocampus, serum | IL-6↓, TNF-α↓, IL-1β↓, tryptophan↑, kynurenine ↓, quinolinic acid↓, 5-HT↑, Kyn/Trp radio ↓, NR2A↓, NR2B↓ |
| Long, 2019 | IS | EA pretreatment | GV20, BL23, SP6 | 2/100 Hz, 1.0 mA, 10 min, no current for 5 min, 4 times for 1 h | Neurological deficit scores | Hippocampus | TRPV-1↓, p38 MAPK↓, TNF-α↓, IL-1β↓ |
| Kong, 2021 | Hemorrhagic stroke | MA | GV20, GB7 | 30 min, 200 rpm/min, 3 times, 5 min, 3 days | Neurobehavioral assessment, Motor functional test, cognitive‐behavioral Tests, encephaledema | Perihematomal area | IL-6↓, IL-1β↓, TNF-α↓, miR-23a-3p↓, ROS↓, MDA↓, GPX4↑ |
| Zhang, 2016 | Migraine | EA pre-treatment | GB20, TE5 | 2/15 Hz, 1.0 mA, 30 min, 5 days | — | Trigeminal ganglion | CGRP↓, PGE2↓, IL-1β↓, COX2↓, CB1 receptor↑ |
Notes: ↑, upregulated by acupuncture; ↓, downregulated by acupuncture.
Abbreviations: SCI, spinal cord injury; TBI, traumatic brain injury; IS, ischemic stroke; CPIP, Chronic postischemia pain; VD, vascular dementia; MDD, major depressive disorder; AD, Alzheimer's disease; PD, Parkinson’s disease; CENA, Cross electro-nape-acupuncture; SPT, sucrose preference test; OFT, open field test; NSS, neurological severity score; mNSS, modified neurological severity score; FST, forced swimming test; HMGB1, High mobility group box-1; PGE2, prostaglandin E2; TRAF6, TNF receptor associated factor 6; TRAM, Trif-related adaptor molecule; TRIF, TIR-domain-containing adaptor inducing interferon-β; RIPK1, receptor interacting protein kinase 1; DRG, dorsal root ganglion; CYLD, cylindromatosis; ABIN1, A20-binding inhibitor of NF-κB1; Syk, spleen Tyrosine Kinase; CARD9, caspase recruitment domain 9; CGRP, calcitonin gene related peptide; BDNF, brain-derived neurotrophic factor; Aβ, amyloid protein; P2X7R, purinergic P2X7 receptor; ASC, apoptosis-associated speck-like protein containing a CARD; TXNIP, thioredoxin-interacting protein; Rock2, Rho related protein kinase 2; TRPV-1, transient receptor potential vanilloid-1; GPX4, glutathione peroxidase 4; CB1, cannabinoid type 1; GV9, Zhiyang; GV6, Jizhong; GV2, Yaoshu; GV1, Changqiang; GB20, Fengchi; TE17, Yifeng; GB7, Qubin; GV24, Shenting; KI3, Taixi; GV26, Shuigou; EX-HN3, Yintang; CV12, Zhongwan; RN7, Yinjiao; GV15, Yamen; GV16, Fengfu; TE5, Waiguan.
Figure 2Common anti-inflammatory effects of acupuncture in various systems. Factors in red are up-regulated by acupuncture, while factors in green are down-regulated by acupuncture. Acupuncture fights against inflammation using two major pathways: regulating macrophage polarization and preserving Th cell balance.
Figure 3The anti-inflammatory mechanisms of acupuncture from acupoint to target organs.