Evidence map›Paper›PMID 41334504›Full record

ArticleData in brief2025

Multi-omics sequencing and data analysis of nanovesicles derived from dried and fresh salvia miltiorrhiza.

Ruoyu Wu, Rui Zhang, Hetong Xu, Zefei Chu, Weiya Zhang, Xiaoyi Zhao, Jing Kong, Shengjun An

Abstract read
In one paragraph

Article in Data in brief, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Ruoyu WuHebei Provincial Engineering Laboratory of Plant Bioreactor Preparation Technology, Hebei University of Chinese Medicine, No. 326 Xinshi South Road, Qiaoxi District, Shijiazhuang 050090 Hebei, China.
Rui ZhangHebei Provincial Engineering Laboratory of Plant Bioreactor Preparation Technology, Hebei University of Chinese Medicine, No. 326 Xinshi South Road, Qiaoxi District, Shijiazhuang 050090 Hebei, China.
Hetong XuHebei Provincial Engineering Laboratory of Plant Bioreactor Preparation Technology, Hebei University of Chinese Medicine, No. 326 Xinshi South Road, Qiaoxi District, Shijiazhuang 050090 Hebei, China.
Zefei ChuHebei Provincial Engineering Laboratory of Plant Bioreactor Preparation Technology, Hebei University of Chinese Medicine, No. 326 Xinshi South Road, Qiaoxi District, Shijiazhuang 050090 Hebei, China.
Weiya ZhangHebei Provincial Engineering Laboratory of Plant Bioreactor Preparation Technology, Hebei University of Chinese Medicine, No. 326 Xinshi South Road, Qiaoxi District, Shijiazhuang 050090 Hebei, China.
Xiaoyi ZhaoHebei Provincial Engineering Laboratory of Plant Bioreactor Preparation Technology, Hebei University of Chinese Medicine, No. 326 Xinshi South Road, Qiaoxi District, Shijiazhuang 050090 Hebei, China.
Jing KongHebei Provincial Engineering Laboratory of Plant Bioreactor Preparation Technology, Hebei University of Chinese Medicine, No. 326 Xinshi South Road, Qiaoxi District, Shijiazhuang 050090 Hebei, China.
Shengjun AnHebei Provincial Engineering Laboratory of Plant Bioreactor Preparation Technology, Hebei University of Chinese Medicine, No. 326 Xinshi South Road, Qiaoxi District, Shijiazhuang 050090 Hebei, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Salvia miltiorrhiza is a perennial, upright herbaceous plant in the genus Salvia within the Lamiaceae family. Its roots have long been used medicinally to promote blood circulation and eliminate blood stasis. Plant-derived nanovesicles are increasingly recognized as a new therapeutic platform for treating various diseases. Therefore, in this study, two types of Salvia miltiorrhiza-derived nanovesicles (SDNVs) were isolated from dried and fresh Salvia miltiorrhiza, respectively: SDNV-D was obtained from decoctions of dried Salvia miltiorrhiza rhizomes using ultra-high-speed differential centrifugation. In contrast, SDNV-F was isolated from the juice of fresh rhizomes through ultra-high-speed differential centrifugation and sucrose density gradient centrifugation. miRNA sequencing was performed using the Illumina Novaseq SE50 platform, and untargeted metabolomics, lipidomics, and proteomics sequencing were conducted via liquid chromatography-mass spectrometry (LC-MS). These analyses aimed to explore differences in miRNAs, metabolites, and proteins between the two SDNV types, thereby predicting their potential intervention targets and therapeutic uses for various diseases. The miRNA dataset has been deposited in the National Center for Biotechnology Information (NCBI). At the same time, data from untargeted metabolomics, lipidomics, and proteomics are available in the National Center for Bioinformation Database. These data provide a foundation for further research into the intervention effects and targets of the two SDNVs across different diseases.

Indexed as

miRNA sequencingNontargeted lipidome sequencingNontargeted metabolomics sequencingProtein sequencingSalvia miltiorrhiza-derived nanovesicles

Identifiers

PMID41334504
PMCPMC12666675

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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.