ArticleChinese medicine2025
Omics-based profiling and therapeutic potential of natural components in pan-Shennongjia medicinal herbs.
Article in Chinese medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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.
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.
Who cites it
1 citing paper in PubMed.
- Identification of Chemical Components in Different Parts of Solanum virginianum L. Based on UHPLC-Q-Exactive Orbitrap MS Combined With Feature-Based Molecular Networking.Journal of mass spectrometry : JMS · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
33 authors.
Funding
Abstract
The pan-Shennongjia region represents a globally significant biodiversity hotspot characterized by high species diversity and endemism. While its rich medicinal resources have long been recognized, the systematic characterization of their natural components and therapeutic potential remains underexplored. Here, we integrated 405 representative biological species from the pan-Shennongjia region, corresponding to 323 traditional Chinese medicine materials, into a Chinese genus-species level phylogenetic tree. We identified clade-specific species enrichments at the family level within this region. Notably, case studies of Chrysanthemum indicum var. aromaticum and Dendrobium flexicaule and Chrysanthemum indicum var. aromaticum revealed specificized accumulations of polysaccharides and volatile terpenoids, respectively, suggesting an environmentally-driven adaptive diversification of metabolomic profiles in pan-Shennongjia herbs. To comprehensively characterize this, we constructed a pan-Shennongjia Herbs Multi-Omics Components (SHMC) database, integrating over 20 million diverse omics-based molecules including small RNAs, small peptides, secondary metabolites, and carbohydrates. Analysis of the components distribution patterns across species revealed phylogenetic selectivity. To validate the accuracy of the annotated components, we systematically analyzed secondary metabolites and small RNAs in Coptis chinensis, and small peptides in Scolopendra subspinipes mutilans based on additional transcriptomic and metabolomic data, and further evaluated their therapeutic potential. This study establishes a crucial foundation for the conservation and sustainable utilization of pan-Shennongjia's medicinal resources, offering the first regional-scale omics-based component database for mining valuable natural products.
Indexed as
Identifiers
What Socratic holds
Registered trials
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 Socratic graph.