Evidence map›Paper›PMID 35013500›Full record

ArticleScientific reports2022

Biological composition analysis of a natural medicine, Faeces Vespertilionis, with complex sources using DNA metabarcoding.

Xiaoying Zhang, Wenxiu Wang, Xiaolei Yu, Yuxia Liu, Wenhui Li, Hongxia Yang, Ying Cui, Xiaoxuan Tian

Abstract read
In one paragraph

Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

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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

1 citing paper in PubMed.

  1. Article
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

8 authors.

Xiaoying ZhangState Key Laboratory of Component-Based Chinese Medicine, Tianjin University of Traditional Chinese Medicine, Tianjin, 301617, China.
Wenxiu WangState Key Laboratory of Component-Based Chinese Medicine, Tianjin University of Traditional Chinese Medicine, Tianjin, 301617, China.
Xiaolei YuState Key Laboratory of Component-Based Chinese Medicine, Tianjin University of Traditional Chinese Medicine, Tianjin, 301617, China.
Yuxia LiuState Key Laboratory of Component-Based Chinese Medicine, Tianjin University of Traditional Chinese Medicine, Tianjin, 301617, China.
Wenhui LiState Key Laboratory of Component-Based Chinese Medicine, Tianjin University of Traditional Chinese Medicine, Tianjin, 301617, China.
Hongxia YangState Key Laboratory of Component-Based Chinese Medicine, Tianjin University of Traditional Chinese Medicine, Tianjin, 301617, China.
Ying CuiState Key Laboratory of Component-Based Chinese Medicine, Tianjin University of Traditional Chinese Medicine, Tianjin, 301617, China. CQL8179270@126.com.
Xiaoxuan TianState Key Laboratory of Component-Based Chinese Medicine, Tianjin University of Traditional Chinese Medicine, Tianjin, 301617, China. tian_xiaoxuan@tjutcm.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Faeces Vespertilionis is a commonly used fecal traditional Chinese medicine. Traditionally, it is identified relying only on morphological characters. This poses a serious challenge to the composition analysis accuracy of this complex biological mixture. Thus, for quality control purposes, an accurate and effective method should be provided for taxonomic identification of Faeces Vespertilionis. In this study, 26 samples of Faeces Vespertilionis from ten provinces in China were tested using DNA metabarcoding. Seven operational taxonomic units (OTUs) were detected as belonging to bats. Among them, Hipposideros armiger (Hodgson, 1835) and Rhinolophus ferrumequinum (Schober and Grimmberger, 1997) were the main host sources of Faeces Vespertilionis samples, with average relative abundances of 59.3% and 24.1%, respectively. Biodiversity analysis showed that Diptera and Lepidoptera were the most frequently consumed insects. At the species level, 19 taxa were clearly identified. Overall, our study used DNA metabarcoding to analyze the biological composition of Faeces Vespertilionis, which provides a new idea for the quality control of this special traditional Chinese medicine.

Indexed as

DNA Barcoding, TaxonomicFecesMedicine, Chinese TraditionalAnimalsBiodiversityBiological ProductsChiropteraDietDipteraLepidopteraQuality ControlBiological Products

Identifiers

PMID35013500
PMCPMC8748881

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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.