ArticleEvidence-based complementary and alternative medicine : eCAM2013
Metabolic Profiles Distinguish Non-Dampness-Phlegm and Dampness-Phlegm Patterns among Korean Patients with Acute Cerebral Infarction.
Article in Evidence-based complementary and alternative medicine : eCAM, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.
What it found
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
6 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Multi-omics approaches for deciphering the complexity of traditional Chinese medicine syndromes in stroke: A systematic review.Frontiers in pharmacology · 2022Pooled it
- Stroke in Traditional Korean Medicine: A Nine-Year Multicentre Community-Based Study in South Korea.Scientific reports · 2016Trial
- The Interrelationships between Intestinal Permeability and Phlegm Syndrome and Therapeutic Potential of Some Medicinal Herbs.Biomolecules · 2021Review
- Lipidomic analysis of serum samples from migraine patients.Lipids in health and disease · 2018Article
- Recent Advances and Perspective of Studies on Phlegm Syndrome in Chinese Medicine.Evidence-based complementary and alternative medicine : eCAM · 2016Review
- Metabolomic analysis of clinical plasma from cerebral infarction patients presenting with blood stasis.Evidence-based complementary and alternative medicine : eCAM · 2015Article
Corrections and comments
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
traditional korean medicine classifies stroke into four subtype patterns according to symptomatic pattern identificationQi deficiency (QD), Yin deficiency (YD), Dampness-phlegm (DP), and Fire and Heat (FH). This study investigated the difference in metabolic profiles of plasma comparing subjects displaying non-DP and DP patterns. A total of 141 patients with cerebral infarction enrolled in this study were distributed as non-DP (N = 68) and DP (N = 73). Anthropometric parameters and symptom/sign index were measured. Metabolic profiling was performed using ultrahigh-performance liquid chromatography-mass spectrometry. The Ratio of subjects with slippery pulse was higher in DP pattern, but fine pulse was lower than that in non-DP pattern. As a result of metabolomics analysis, twenty-one metabolites displayed different levels between non-DP and DP patterns. Two were identified as lysophosphatidylcholines (LPCs), LPC(18:2), and LPC(20:3) having an unsaturated acyl chain and showed lower levels in DP pattern than in non-DP pattern (P = 0.015, 0.034, resp.). However, the saturated LPCs, LPC(18:0) and LPC(16:0), exhibited slight but statistically insignificant elevation in DP pattern. Our results demonstrated that plasma LPCs with polyunsaturated fatty acid groups were associated with DP pattern and suggest that variation of plasma lipid profiles may serve as potential biomarker for diagnosis of DP pattern.
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Registered trials
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