Evidence map›Paper›PMID 25834622›Full record

ArticleEvidence-based complementary and alternative medicine : eCAM2015

Metabolomic analysis of clinical plasma from cerebral infarction patients presenting with blood stasis.

Min Ho Cha, Min Jung Kim, Jeeyoun Jung, Jin Hee Kim, Myeong Soo Lee, Myung-Sunny Kim

Abstract read
In one paragraph

Article in Evidence-based complementary and alternative medicine : eCAM, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Therapeutic Effect and Mechanism Study ofEvidence-based complementary and alternative medicine : eCAM · 2019
    Article
  5. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Min Ho ChaMedical Research Division, Korean Institute of Oriental Medicine, 1672 Yuseongdae-ro, Yuseong-gu, Daejeon 305-811, Republic of Korea.ORCID 0000-0002-9158-6769
Min Jung KimResearch Group of Nutrition and Metabolic Systems, Korean Food Research Institute, 62 Anyangpangyo-ro, 1201 Beon-gil, Bundang-gu, Seongnam, Gyeonggi-do 463-746, Republic of Korea.
Jeeyoun JungMedical Research Division, Korean Institute of Oriental Medicine, 1672 Yuseongdae-ro, Yuseong-gu, Daejeon 305-811, Republic of Korea.
Jin Hee KimResearch Group of Nutrition and Metabolic Systems, Korean Food Research Institute, 62 Anyangpangyo-ro, 1201 Beon-gil, Bundang-gu, Seongnam, Gyeonggi-do 463-746, Republic of Korea.
Myeong Soo LeeMedical Research Division, Korean Institute of Oriental Medicine, 1672 Yuseongdae-ro, Yuseong-gu, Daejeon 305-811, Republic of Korea.
Myung-Sunny KimResearch Group of Nutrition and Metabolic Systems, Korean Food Research Institute, 62 Anyangpangyo-ro, 1201 Beon-gil, Bundang-gu, Seongnam, Gyeonggi-do 463-746, Republic of Korea ; Department of Food Biotechnology, University of Science & Technology, 62 Anyangpangyo-ro, 1201 Beon-gil, Bundang-gu, Seongnam, Gyeonggi-do 463-746, Republic of Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Identifiers

PMID25834622
PMCPMC4365334

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.