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Zhu Y, Li X, Lei X, Tang L, Wen D, Zeng B, Zhang X, Huang Z, Guo Z. The potential mechanism and clinical application value of remote ischemic conditioning in stroke. Neural Regen Res 2025; 20:1613-1627. [PMID: 38845225 PMCID: PMC11688546 DOI: 10.4103/nrr.nrr-d-23-01800] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/02/2023] [Revised: 01/30/2024] [Accepted: 03/19/2024] [Indexed: 08/07/2024] Open
Abstract
Some studies have confirmed the neuroprotective effect of remote ischemic conditioning against stroke. Although numerous animal researches have shown that the neuroprotective effect of remote ischemic conditioning may be related to neuroinflammation, cellular immunity, apoptosis, and autophagy, the exact underlying molecular mechanisms are unclear. This review summarizes the current status of different types of remote ischemic conditioning methods in animal and clinical studies and analyzes their commonalities and differences in neuroprotective mechanisms and signaling pathways. Remote ischemic conditioning has emerged as a potential therapeutic approach for improving stroke-induced brain injury owing to its simplicity, non-invasiveness, safety, and patient tolerability. Different forms of remote ischemic conditioning exhibit distinct intervention patterns, timing, and application range. Mechanistically, remote ischemic conditioning can exert neuroprotective effects by activating the Notch1/phosphatidylinositol 3-kinase/Akt signaling pathway, improving cerebral perfusion, suppressing neuroinflammation, inhibiting cell apoptosis, activating autophagy, and promoting neural regeneration. While remote ischemic conditioning has shown potential in improving stroke outcomes, its full clinical translation has not yet been achieved.
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Affiliation(s)
- Yajun Zhu
- The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Xiaoguo Li
- The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Xingwei Lei
- The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Liuyang Tang
- The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Daochen Wen
- The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Bo Zeng
- The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Xiaofeng Zhang
- The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Zichao Huang
- The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Zongduo Guo
- The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
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Tie X, Li H, Gao L, Liu P, Gao Y, Jin M, Duan G, Yi Z. Enhancing the management of locally advanced head and neck malignancies and cases with local/neck recurrence and metastasis through the integration of anlotinib with concurrent radiochemotherapy. Anticancer Drugs 2024; 35:774-779. [PMID: 38809804 DOI: 10.1097/cad.0000000000001621] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/31/2024]
Abstract
The aim of this study is to assess the effectiveness and safety of anlotinib in conjunction with concurrent radiochemotherapy for the treatment of locally advanced head and neck malignant tumors, including cases exhibiting local or neck recurrence and metastasis. Between June 2020 and June 2023, 42 patients diagnosed with locally advanced head and neck malignant tumors or presenting with local or neck recurrence and metastasis were recruited. These individuals received treatment that combined anlotinib with concurrent radiochemotherapy, followed by a minimum of two cycles of oral anlotinib upon completion of the initial treatment regimen. Among the 19 patients diagnosed with nasopharyngeal carcinoma, 14 patients attained a complete response, while four patients achieved partial response, resulting in an overall response rate of 94.74% (18/19). Conversely, among the 23 patients with non-nasopharyngeal carcinoma, two patients achieved complete response and 16 attained partial response, yielding a response rate of 78.26% (18/23). The 6-month progression-free survival rate was 95.24%. After treatment, serum vascular endothelial growth factor receptor levels exhibited a significant decrease compared with pretreatment levels. Notably, no instances of treatment-related serious adverse reactions were recorded. The combination of anlotinib with concurrent radiochemotherapy demonstrates favorable efficacy in managing locally advanced head and neck malignant tumors, including instances of local or neck recurrence and metastasis. Furthermore, the treatment regimen is characterized by an acceptable safety profile and tolerability.
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Affiliation(s)
| | | | | | | | | | - Mingxin Jin
- Otolaryngology, Kaifeng Central Hospital, Kaifeng, Henan Province, China
| | - Guangting Duan
- Otolaryngology, Kaifeng Central Hospital, Kaifeng, Henan Province, China
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Jiang B, Wang X, Ma J, Fayyaz A, Wang L, Qin P, Ding Y, Ji X, Li S. Remote ischemic conditioning after stroke: Research progress in clinical study. CNS Neurosci Ther 2024; 30:e14507. [PMID: 37927203 PMCID: PMC11017418 DOI: 10.1111/cns.14507] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/07/2023] [Revised: 09/14/2023] [Accepted: 10/06/2023] [Indexed: 11/07/2023] Open
Abstract
BACKGROUND AND PURPOSE Stroke is a leading cause of global morbidity and mortality, indicating the necessity and urgency of effective prevention and treatment. Remote ischemic conditioning (RIC) is a convenient, simple, non-intrusive, and effective method that can be easily added to the treatment regime of stroke patients. Animal experiments and clinical trials have proved the neuroprotective effects of RIC on brain injury including (examples of neuroprotective effects). This neuroprotection is achieved by raising brain tolerance to ischemia, increasing local cerebral blood perfusion, promoting collateral circulations, neural regeneration, and reducing the incidence of hematomas in brain tissue. This current paper will summarize the studies within the last 2 years for the comprehensive understanding of the use of RIC in the treatment of stroke. METHODS This paper summarizes the clinical research progress of RIC on stroke (ischemic stroke and hemorrhagic stroke (HS)). This paper is a systematic review of research published on registered clinical trials using RIC in stroke from inception through November 2022. Four major databases (PUBMED, WEB OF SCIENCE, EMBASE, and ClinicalTrials.gov) were searched. RESULTS Forty-eight studies were identified meeting our criteria. Of these studies, 14 were in patients with acute ischemic stroke with onset times ranging from 6 h to 14 days, seven were in patients with intravenous thrombolysis or endovascular thrombectomy, 10 were in patients with intracranial atherosclerotic stenosis, six on patients with vascular cognitive impairment, three on patients with moyamoya disease, and eight on patients with HS. Of the 48 studies, 42 were completed and six are ongoing. CONCLUSIONS RIC is safe, feasible, and effective in the treatment of stroke. Large-scale research is still required to explore the optimal treatment options and mechanisms of RIC in the future to develop a breakthrough in stroke prevention and treatment.
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Affiliation(s)
- Bin Jiang
- Department of NeurologyShenzhen Qianhai Shekou Free Trade Zone HospitalShenzhenChina
| | - Xiaojie Wang
- Department of NeurologyShenzhen Qianhai Shekou Free Trade Zone HospitalShenzhenChina
| | - Jianping Ma
- Department of NeurologyShenzhen Qianhai Shekou Free Trade Zone HospitalShenzhenChina
| | - Aminah Fayyaz
- Department of NeurosurgeryWayne State University School of MedicineDetroitMichiganUSA
| | - Li Wang
- Department of NeurologyShenzhen Qianhai Shekou Free Trade Zone HospitalShenzhenChina
| | - Pei Qin
- Department of NeurologyShenzhen Qianhai Shekou Free Trade Zone HospitalShenzhenChina
| | - Yuchuan Ding
- Department of NeurosurgeryWayne State University School of MedicineDetroitMichiganUSA
| | - Xunming Ji
- Department of Neurology, Xuanwu HospitalCapital Medical UniversityBeijingChina
- Beijing Institute of Brain Disorders, Collaborative Innovation Center for Brain DisordersCapital Medical UniversityBeijingChina
| | - Sijie Li
- Department of Emergency, Xuanwu HospitalCapital Medical UniversityBeijingChina
- Beijing Key Laboratory of Hypoxic Conditioning Translational Medicine, Xuanwu HospitalCapital Medical UniversityBeijingChina
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Li Z, Li J, Yang L, Tan J, Zhu F, Wan LH. Effects of a digital learning platform on health behaviours in stroke patients from baseline to 6 months after discharge: a randomized controlled trial. Eur J Cardiovasc Nurs 2023; 22:575-585. [PMID: 36790874 DOI: 10.1093/eurjcn/zvad025] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/15/2022] [Revised: 01/17/2023] [Accepted: 02/13/2023] [Indexed: 02/16/2023]
Abstract
AIMS Improving the health behaviour can help prevent stroke recurrence. The existing health education interventions require more human resource. There is a lack of constructing a low-cost, highly universal, and easy-to-use stroke secondary prevention platform based on the existing medical resources. METHODS AND RESULTS This was a randomized controlled trial to test the effects of a digital learning platform on the health knowledge, beliefs, and behaviours of stroke patients from baseline to 6 months after discharge. The control group received routine health education while the intervention group received health belief education during hospitalization and used a digital learning platform for 6 months after discharge. The health knowledge was assessed by The Stroke Health Knowledge Questionnaire, health beliefs by The Short Form Health Belief Model Scale for Stroke Patients, and health behaviours by the Stroke Health Behavior Scale. A total of 90 patients were included: 45 each in the intervention group and the control group, of whom 38 and 37 completed the study, respectively. At 6 months after discharge, (1) the health knowledge score of the intervention group was insignificantly higher than that of the control group, (2) the health belief score of the intervention group was significantly higher than that of the control group, and (3) the intervention group had higher health behaviour scores especially in physical activity than that of the control group. Other health behaviour dimensions have time effect, but not significant. CONCLUSIONS The digital learning platform can improve health behaviours of stroke patients 6 months after discharge, especially in physical activity. REGISTRATION ChiCTR1800019936.
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Affiliation(s)
- Zhuoran Li
- School of Nursing, Sun Yat-sen University, 74 Zhongshan Rd. 2, Guangzhou 510089, China
| | - Jingjing Li
- School of Nursing, Sun Yat-sen University, 74 Zhongshan Rd. 2, Guangzhou 510089, China
| | - Lijun Yang
- Department of Neurology, Guangdong Provincial Hospital of Chinese Medicine, 111 Dade Rd., Guangzhou 510120, China
| | - Juxiang Tan
- Department of Neurology, The Third Affiliated Hospital of Sun Yat-sen University, 2693 Kaichuang Road, Guangzhou 510013, China
| | - Fenyan Zhu
- Department of Neurology, The Third Affiliated Hospital of Sun Yat-sen University, 2693 Kaichuang Road, Guangzhou 510013, China
| | - Li-Hong Wan
- School of Nursing, Sun Yat-sen University, 74 Zhongshan Rd. 2, Guangzhou 510089, China
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Liu S, Gao Z, Meng R, Song H, Tang T, Zhao Y, Chen R, Sheng Y, Fan Q, Jiang F, Zhang Q, Ding J, Huang X, Ma Q, Dong K, Xue S, Yu Z, Duan J, Chu C, Chen X, Huang X, Li S, Ovbiagele B, Zhao W, Ji X, Feng W. Preventing Ischemic Cerebrovascular Events in High-Risk Patients With Non-disabling Ischemic Cerebrovascular Events Using Remote Ischemic Conditioning: A Single-Arm Study. Front Neurol 2021; 12:748916. [PMID: 34975717 PMCID: PMC8716386 DOI: 10.3389/fneur.2021.748916] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/28/2021] [Accepted: 11/22/2021] [Indexed: 11/13/2022] Open
Abstract
Background: Secondary stroke prevention after a high-risk, non-disabling ischemic cerebrovascular event needs to be enhanced. The study was conducted to investigate whether remote ischemic conditioning (RIC) is effective in preventing recurrent ischemic events within 3 months. Methods: This was a four-center, single-arm, open-label Phase IIa futility trial (PICNIC-One Study). Adult patients (≥18 years of age) who had an acute minor ischemic stroke (AMIS) with a National Institutes of Health Stroke Scale score ≤ 3 or a transient ischemic attack (TIA) with moderate-to-high risk of stroke recurrence (ABCD score ≥ 4) within 14 days of symptom onset were recruited. Patients received RIC as adjunctive therapy to routine secondary stroke prevention regimen. RIC consisted of five cycles of 5-min inflation (200 mmHg) and 5-min deflation of cuffs (45 min) on bilateral upper limbs twice a day for 90 days. Results: A total of 285 patients met the study criteria, of which 167 provided signed informed consent and were enrolled. Data from 162 were analyzed with five subjects excluded. Recurrent AIS/TIA occurred in 6/162 (3.7%) patients within 3 months, with no occurrence of hemorrhagic stroke. The top three adverse events were upper limb pain (44/162, 27.2%), petechia (26/162, 16.0%), and heart palpitation (5/162, 3.1%). About 68 (42.0%) subjects completed ≥ 50% of 45-min RIC sessions. Conclusions: RIC is a safe add-on procedure and it has a potential benefit in reducing recurrent cerebrovascular events in patients with high-risk, non-disabling ischemic cerebrovascular events as the risk of stroke/TIA events is lower than expected; however, its compliance needs to be improved. Our study provides critical preliminary data to plan a large sample size, randomized controlled clinical study to systematically investigate the safety and efficacy of RIC in this population.
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Affiliation(s)
- Shimeng Liu
- Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Zongen Gao
- Department of Neurology, Shengli Oilfield Center Hospital, Dongying, China
| | - Ran Meng
- Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China
| | - Haiqing Song
- Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China
| | - Tianping Tang
- Department of Neurology, Shengli Oilfield Center Hospital, Dongying, China
| | - Ya Zhao
- Department of Neurology, Taoyuan People's Hospital, Changde, China
| | - Rong Chen
- Department of Neurology, First Affiliated Hospital of Hainan Medical University, Haikou, China
| | - Yanzhen Sheng
- Department of Neurology, Taoyuan People's Hospital, Changde, China
| | - Qianqian Fan
- Department of Neurology, First Affiliated Hospital of Hainan Medical University, Haikou, China
| | - Fang Jiang
- Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China
| | - Qian Zhang
- Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China
| | - Jianping Ding
- Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China
| | - Xiaoqin Huang
- Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China
| | - Qingfeng Ma
- Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China
| | - Kai Dong
- Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China
| | - Sufang Xue
- Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China
| | - Zhipeng Yu
- Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China
| | - Jiangang Duan
- Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China
| | - Changbiao Chu
- Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China
| | - Xiaohui Chen
- Department of Neurology, Shengli Oilfield Center Hospital, Dongying, China
| | - Xingquan Huang
- Department of Neurology, Taoyuan People's Hospital, Changde, China
| | - Sijie Li
- Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China
| | - Bruce Ovbiagele
- Departmeng of Neurology, University of California, San Francisco, San Francisco, CA, United States
| | - Wenle Zhao
- Department of Public Health Sciences, Medical University of South Carolina, Charleston, SC, United States
| | - Xunming Ji
- Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China
- Beijing Key Laboratory of Hypoxia Conditioning Translational Medicine, Beijing, China
- Center of Stroke, Beijing Institute for Brain Disorders, Beijing, China
- Cerebrovascular Diseases Research Institute, Xuanwu Hospital of Capital Medical University, Beijing, China
- China-America Institute of Neuroscience, Xuanwu Hospital, Capital Medical University, Beijing, China
- Institute of Hypoxia Medicine, Xuanwu Hospital, Capital Medical University, Beijing, China
- Laboratory of Brain Disorders, Beijing Institute of Brain Disorders, Ministry of Science and Technology, Collaborative Innovation Center for Brain Disorders, Capital Medical University, Beijing, China
- Beijing University of Aeronautics & Astronautics-China Capital Medical University (BUAA-CCMU) Advanced Innovation Center for Big Data-Based Precision Medicine, Beijing, China
- Xunming Ji
| | - Wuwei Feng
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- Department of Neurology, Duke University School of Medicine, Durham, NC, United States
- *Correspondence: Wuwei Feng
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Mollet I, Marto JP, Mendonça M, Baptista MV, Vieira HLA. Remote but not Distant: a Review on Experimental Models and Clinical Trials in Remote Ischemic Conditioning as Potential Therapy in Ischemic Stroke. Mol Neurobiol 2021; 59:294-325. [PMID: 34686988 PMCID: PMC8533672 DOI: 10.1007/s12035-021-02585-6] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/04/2021] [Accepted: 09/29/2021] [Indexed: 12/19/2022]
Abstract
Stroke is one of the main causes of neurological disability worldwide and the second cause of death in people over 65 years old, resulting in great economic and social burden. Ischemic stroke accounts for 85% of total cases, and the approved therapies are based on re-establishment of blood flow, and do not directly target brain parenchyma. Thus, novel therapies are urgently needed. In this review, limb remote ischemic conditioning (RIC) is revised and discussed as a potential therapy against ischemic stroke. The review targets both (i) fundamental research based on experimental models and (ii) clinical research based on clinical trials and human interventional studies with healthy volunteers. Moreover, it also presents two approaches concerning RIC mechanisms in stroke: (i) description of the underlying cerebral cellular and molecular mechanisms triggered by limb RIC that promote neuroprotection against stroke induced damage and (ii) the identification of signaling factors involved in inter-organ communication following RIC procedure. Limb to brain remote signaling can occur via circulating biochemical factors, immune cells, and/or stimulation of autonomic nervous system. In this review, these three hypotheses are explored in both humans and experimental models. Finally, the challenges involved in translating experimentally generated scientific knowledge to a clinical setting are also discussed.
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Affiliation(s)
- Inês Mollet
- UCIBIO, Applied Molecular Biosciences Unit, Department of Chemistry, NOVA School of Science and Technology, Universidade NOVA de Lisboa, Campus de Caparica, 2829-526, Caparica, Portugal.,CEDOC, Faculdade de Ciências Médicas/NOVA Medical School, Universidade NOVA de Lisboa, Lisbon, Portugal
| | - João Pedro Marto
- CEDOC, Faculdade de Ciências Médicas/NOVA Medical School, Universidade NOVA de Lisboa, Lisbon, Portugal.,Department of Neurology, Hospital de Egas Moniz, Centro Hospitalar Lisboa Ocidental, Lisbon, Portugal
| | - Marcelo Mendonça
- CEDOC, Faculdade de Ciências Médicas/NOVA Medical School, Universidade NOVA de Lisboa, Lisbon, Portugal.,Champalimaud Research, Champalimaud Center for the Unknown, Lisbon, Portugal
| | - Miguel Viana Baptista
- CEDOC, Faculdade de Ciências Médicas/NOVA Medical School, Universidade NOVA de Lisboa, Lisbon, Portugal.,Department of Neurology, Hospital de Egas Moniz, Centro Hospitalar Lisboa Ocidental, Lisbon, Portugal
| | - Helena L A Vieira
- UCIBIO, Applied Molecular Biosciences Unit, Department of Chemistry, NOVA School of Science and Technology, Universidade NOVA de Lisboa, Campus de Caparica, 2829-526, Caparica, Portugal. .,CEDOC, Faculdade de Ciências Médicas/NOVA Medical School, Universidade NOVA de Lisboa, Lisbon, Portugal. .,Associate Laboratory i4HB - Institute for Health and Bioeconomy, NOVA School of Science and Technology, NOVA University Lisbon, Caparica, Portugal.
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