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Liu T, Qin M, Xiong X, Lai X, Gao Y. Multi-omics approaches for deciphering the complexity of traditional Chinese medicine syndromes in stroke: A systematic review. Front Pharmacol 2022; 13:980650. [PMID: 36147315 PMCID: PMC9489218 DOI: 10.3389/fphar.2022.980650] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/28/2022] [Accepted: 08/08/2022] [Indexed: 12/03/2022] Open
Abstract
Background: Deciphering the biological basis of traditional Chinese medicine (TCM) syndromes in complex diseases is challenging. Rapid advances in multi-omics approaches provide new opportunities to unveil the biological basis of TCM syndromes. We intend to summarize the latest significant progress and highlight the crucial value of applying multi-omics approaches to reveal TCM syndromes of stroke in a new horizon. Methods: We systematically searched PubMed, EMBASE, Web of Science Core Collection (WOSCC), Cochrane Library, China National Knowledge Infrastructure (CNKI), Chinese Science and Technology Periodical Database (VIP), Wanfang database and China Biology Medicine Database (SinoMed) for relevant studies from their inception to 31 March 2022, and conducted a comprehensive systematic review (PROSPERO registration number: CRD42021285922). Results: A total of 43 relevant studies were included in the final systematic review, genomics, transcriptomics, proteomics, and metabolomics were all involved. Some gene polymorphisms, differential lncRNAs, mRNAs, miRNAs, proteins, and metabolites may be associated with TCM syndromes of stroke. In addition, some studies conducted a preliminary exploration on the different diseases with the same TCM syndrome. The results showed that thioredoxin-dependent peroxidase reductase may be the specific marker protein of Liver-yang transforming into wind syndrome, and the network formed by mir-146b-5p, -199a-5p, and 23 targeted mRNAs may be the biomarker of Blood-stasis syndrome. Conclusion: Multi-omics technologies have served as powerful tools to investigate the complexity of TCM syndromes and may hold the promise of promoting the modernization of TCM as well as personalized medicine of TCM in stroke.
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Affiliation(s)
- Tingting Liu
- Institute for Brain Disorders, Beijing University of Chinese Medicine, Beijing, China
- Department of Neurology, Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, China
- Beijing University of Chinese Medicine, Beijing, China
| | - Mingzhen Qin
- Institute for Brain Disorders, Beijing University of Chinese Medicine, Beijing, China
- Department of Neurology, Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, China
- Beijing University of Chinese Medicine, Beijing, China
| | - Xuejiao Xiong
- Institute for Brain Disorders, Beijing University of Chinese Medicine, Beijing, China
- Department of Neurology, Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, China
- Beijing University of Chinese Medicine, Beijing, China
| | - Xinxing Lai
- Institute for Brain Disorders, Beijing University of Chinese Medicine, Beijing, China
- Department of Neurology, Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, China
| | - Ying Gao
- Institute for Brain Disorders, Beijing University of Chinese Medicine, Beijing, China
- Department of Neurology, Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, China
- Chinese Medicine Key Research Room of Brain Disorders Syndrome and Treatment of the National Administration of Traditional Chinese Medicine, Beijing, China
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The Interrelationships between Intestinal Permeability and Phlegm Syndrome and Therapeutic Potential of Some Medicinal Herbs. Biomolecules 2021; 11:biom11020284. [PMID: 33671865 PMCID: PMC7918952 DOI: 10.3390/biom11020284] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2020] [Revised: 02/06/2021] [Accepted: 02/10/2021] [Indexed: 02/06/2023] Open
Abstract
The gastrointestinal (GI) tract has an intriguing and critical role beyond digestion in both modern and complementary and alternative medicine (CAM), as demonstrated by its link with the immune system. In this review, we attempted to explore the interrelationships between increased GI permeability and phlegm, an important pathological factor in CAM, syndrome, and therapeutic herbs for two disorders. The leaky gut and phlegm syndromes look considerably similar with respect to related symptoms, diseases, and suitable herbal treatment agents, including phytochemicals even though limitations to compare exist. Phlegm may be spread throughout the body along with other pathogens via the disruption of the GI barrier to cause several diseases sharing some parts of symptoms, diseases, and mechanisms with leaky gut syndrome. Both syndromes are related to inflammation and gut microbiota compositions. Well-designed future research should be conducted to verify the interrelationships for evidence based integrative medicine to contribute to the promotion of public health. In addition, systems biology approaches should be adopted to explore the complex synergistic effects of herbal medicine and phytochemicals on conditions associated with phlegm and leaky gut syndromes.
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Ren C, Liu J, Zhou J, Liang H, Wang Y, Sun Y, Ma B, Yin Y. Lipidomic analysis of serum samples from migraine patients. Lipids Health Dis 2018; 17:22. [PMID: 29394939 PMCID: PMC5797421 DOI: 10.1186/s12944-018-0665-0] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/22/2017] [Accepted: 01/22/2018] [Indexed: 01/03/2023] Open
Abstract
BACKGROUND Migraine is a prevalent, disabling type of primary headache disorder associated with a high socioeconomic burden. The clinical management of migraine is challenging. This study was to identify potential serum lipidomic biomarkers of migraine. METHODS The serum lipidomic profile of migraine sufferers was compared with healthy individuals using Liquid Chromatography coupled to Mass Spectrometry (LC-MS). Volcano plot analysis by Student's t-test was performed to identify the differential metabolites. Receiver operating characteristic (ROC) curves were constructed and the area under ROC curves (AUC) was calculated to evaluate whether the metabolites could be efficiently exploited for constructing a sensitive biomarker of migraine. RESULTS A total of 29 serum metabolites from 4 classes of lipids including acylcarnitines, non-alpha-hydroxy-sphingosine ceramides (Cer_NSs), lysophosphatidylcholines (lysoPCs) and lysophosphatidylethanolamines (lysoPEs) were significantly different in migraine patients and controls. Of note, Cer_NSs were significantly elevated and lysoPEs were significantly decreased in migraine patients. LysoPE 18:1, lysoPE 18:2 and lysoPE 22:5 were found to be decreased in both positive and negative ion mode. Moreover, except for lysoPC 20:0, other lysoPCs were decreased in migraine patients. ROC curve analysis indicated that lysoPC 16:0 and lysoPC 20:0 are potential sensitive and specific biomarkers for migraine. CONCLUSION LysoPC 16:0 and lysoPC 20:0 may be potential biomarkers for migraine. We suggest therapeutic management of these metabolites may be helpful in the prevention and treatment of migraine.
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Affiliation(s)
- Caixia Ren
- Departments of Human Anatomy, Histology and Embryology, Peking University Health Science Center, Beijing, 100191, China
| | - Jia Liu
- Institute of Systems Biomedicine, Department of Pathology, School of Basic Medical Sciences, Peking University Health Science Center, Beijing, 100191, China
| | - Juntuo Zhou
- Institute of Systems Biomedicine, Department of Pathology, School of Basic Medical Sciences, Peking University Health Science Center, Beijing, 100191, China
| | - Hui Liang
- Institute of Systems Biomedicine, Department of Pathology, School of Basic Medical Sciences, Peking University Health Science Center, Beijing, 100191, China
| | - Yayun Wang
- Department of Neurology, Dongzhimen Hospital Affiliated to Beijing University of Chinese Medicine, Beijing, 100700, China
| | - Yinping Sun
- Dongfang Hospital Affiliated to Beijing University of Chinese Medicine, Beijing, 100078, China
| | - Bin Ma
- Department of Neurology, Dongzhimen Hospital Affiliated to Beijing University of Chinese Medicine, Beijing, 100700, China.
| | - Yuxin Yin
- Institute of Systems Biomedicine, Department of Pathology, School of Basic Medical Sciences, Peking University Health Science Center, Beijing, 100191, China. .,Beijing Key Laboratory of Tumor Systems Biology, Peking-Tsinghua Center for Life Sciences, Beijing, 100191, China.
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Stroke in Traditional Korean Medicine: A Nine-Year Multicentre Community-Based Study in South Korea. Sci Rep 2016; 6:28286. [PMID: 27329148 PMCID: PMC4916442 DOI: 10.1038/srep28286] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/19/2016] [Accepted: 06/01/2016] [Indexed: 11/09/2022] Open
Abstract
In Korea, patients with stroke are commonly treated using traditional Korean medicine (TKM). The aim of this study was to provide information on the clinical characteristics of the pattern identification (PI) of stroke used in TKM. Stroke patients admitted to 15 TKM university hospitals from April 2005 through December 2013 were evaluated. The measured variables included the following factors as they related to the PI: (a) stroke etiology; (b) distribution of symptoms/signs; (c) physical characteristics and lifestyle parameters; (d) medical history; and (e) stroke-related laboratory results. Among 4912 stroke patients, 3466 patients received the same PI by two experts with the following distribution: Qi-Deficiency pattern (n = 810), Fire-Heat (FH) pattern (n = 1031), Dampness-Phlegm (DP) pattern (n = 1127), and Yin-Deficiency pattern (n = 498). Approximately 89.9% of subjects enrolled in this study had cerebral infarction. Some of specific symptoms were related to each type of PI, and obese phenotypes and blood lipids were significantly related to DP and FH. These results showed the characteristics of each type of PI and should lead to the standardization of diagnosis for stroke in TKM.
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Recent Advances and Perspective of Studies on Phlegm Syndrome in Chinese Medicine. EVIDENCE-BASED COMPLEMENTARY AND ALTERNATIVE MEDICINE 2016; 2016:6463270. [PMID: 26981140 PMCID: PMC4769765 DOI: 10.1155/2016/6463270] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 09/23/2015] [Revised: 01/04/2016] [Accepted: 01/18/2016] [Indexed: 02/04/2023]
Abstract
This review paper summarized the current situation of studies on the essence of phlegm syndrome and relation between phlegm syndrome, diseases, and therapeutics based on published English articles. In studies on the essence of phlegm syndrome, omic technologies were used to explore the molecular basis of phlegm syndrome; in studies on relation between phlegm syndrome and diseases, discovery of markers of phlegm syndrome in diseases becomes a hotspot; the distribution of phlegm syndromes in some common chronic diseases was found; in the therapy of phlegm syndrome, two therapeutic models, treatment with CM formula and treatment with a combination of CM formula and Western medicine, were used most frequently. It is certainly that using one omic technology is not able to deal with the complexity of phlegm syndrome and that the use of a combination of multiple omic methods will be a trend in future studies. Meanwhile, for rapidly increasing clinical research quality of phlegm syndrome, a series of agreed criteria, such as syndrome diagnostic criteria and efficacy criteria clinical studies of phlegm syndrome, needed to be established urgently, and there was an urgent need of standardizing syndrome names in English.
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Metabolomic analysis of clinical plasma from cerebral infarction patients presenting with blood stasis. EVIDENCE-BASED COMPLEMENTARY AND ALTERNATIVE MEDICINE 2015; 2015:453423. [PMID: 25834622 PMCID: PMC4365334 DOI: 10.1155/2015/453423] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 10/29/2014] [Revised: 02/17/2015] [Accepted: 02/18/2015] [Indexed: 12/18/2022]
Abstract
Blood stasis (BS) is characterized as a disorder of blood circulation. In traditional Korean medicine (TKM), it is viewed as a cause factor of diseases such as multiple sclerosis and stroke. This study investigated differences in the plasma metabolites profiles of subjects displaying BS or non-BS patterns. Thirty-one patients with cerebral infarction diagnosed with BS and an equal number of sex- and age-matched non-BS patients were enrolled. Metabolic profiling was performed using UPLC-MS. The ratio of subjects with a rough pulse and purple coloration of the tongue was higher in patients presenting with BS pattern. Through metabolomics analysis, 82 metabolites that differed significantly between the BS and non-BS pattern were identified, and the two groups were significantly separated using an orthogonal partial least square-discriminant analysis model (P < 0.001). Of these 82 metabolites, acetyl carnitine, leucine, kynurenine, phosphocholine, hexanoyl carnitine, and decanoyl carnitine were present in significantly higher levels in patients with a BS pattern than those with a non-BS pattern. Our results also demonstrated that seven plasma metabolites, including acyl-carnitines and kynurenine, were associated with a BS pattern, suggesting that variant plasma metabolic profiles may serve as a biomarker for diagnosis of BS in patients with cerebral infarction.
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Zhao YY, Cheng XL, Vaziri ND, Liu S, Lin RC. UPLC-based metabonomic applications for discovering biomarkers of diseases in clinical chemistry. Clin Biochem 2014; 47:16-26. [DOI: 10.1016/j.clinbiochem.2014.07.019] [Citation(s) in RCA: 109] [Impact Index Per Article: 10.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/27/2014] [Revised: 07/11/2014] [Accepted: 07/16/2014] [Indexed: 01/09/2023]
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