Evidence map›Paper›PMID 32071608›Full record

ArticleEvidence-based complementary and alternative medicine : eCAM2020

Toxicity and Its Mechanism Study of

Zhe Jia, Ting Han, Qinghua Lin, Wenjia Qu, Tianying Jia, Mengnan Liu, Haili Wang, Jieping Xin, Xinfang Xu, Xiangri Li

Abstract read
In one paragraph

Article in Evidence-based complementary and alternative medicine : eCAM, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–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

3 citing papers in PubMed.

  1. Review
  2. Article
  3. 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

10 authors.

Zhe JiaSchool of Chinese Materia Medica, Beijing University of Chinese Medicine, Higher Education Park, Fangshan District, Beijing 102488, China.ORCID https://orcid.org/0000-0002-9853-1058
Ting HanSchool of Chinese Materia Medica, Beijing University of Chinese Medicine, Higher Education Park, Fangshan District, Beijing 102488, China.
Qinghua LinCollege of Pharmacy, Guangxi University of Chinese Medicine, Guangxi Province, Nanning, China.
Wenjia QuSchool of Chinese Materia Medica, Beijing University of Chinese Medicine, Higher Education Park, Fangshan District, Beijing 102488, China.
Tianying JiaSchool of Chinese Materia Medica, Beijing University of Chinese Medicine, Higher Education Park, Fangshan District, Beijing 102488, China.
Mengnan LiuSchool of Chinese Materia Medica, Beijing University of Chinese Medicine, Higher Education Park, Fangshan District, Beijing 102488, China.
Haili WangSchool of Chinese Materia Medica, Beijing University of Chinese Medicine, Higher Education Park, Fangshan District, Beijing 102488, China.
Jieping XinSchool of Chinese Materia Medica, Beijing University of Chinese Medicine, Higher Education Park, Fangshan District, Beijing 102488, China.
Xinfang XuSchool of Chinese Materia Medica, Beijing University of Chinese Medicine, Higher Education Park, Fangshan District, Beijing 102488, China.
Xiangri LiSchool of Chinese Materia Medica, Beijing University of Chinese Medicine, Higher Education Park, Fangshan District, Beijing 102488, China.ORCID https://orcid.org/0000-0002-1730-5455

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

background

methodsWistar rats were administered orally two different doses of ASAE (1500 and 4500 mg/kg/d) for 30 days. The investigation was carried out to evaluate the safety of ASAE. And, the UPLC-HDMS-based serum metabolomics in conjunction with multivariate statistical techniques was applied to investigate the serum metabolite profile and potential markers of toxicity induced by different doses of ASAE.

resultsCoupled with blood biochemistry and histopathology results, the significant difference in metabolic profiling was observed between 1500 and 4500 mg/kg/d dosages of ASAE-treated rats and normal rats by using pattern recognition analysis, indicating that changes in serum metabolites must have occurred. Some significant changed metabolites such as arachidonic acid, linoleic acid, stearic acid, and LPC (18 : 1) have been found and identified. These biochemical changes in serum metabolites are related to the perturbation of linoleic acid metabolism, arachidonic acid metabolism, glycerophospholipid metabolism, and purine metabolism, which may be helpful to further understand the cardiotoxicity and neurotoxicity of ASAE.

conclusionThe study shows that the metabolomic method may be a valuable tool for studying the essence of toxicity induced by traditional Chinese medicine.

Identifiers

PMID32071608
PMCPMC7011391

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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.