ArticleContrast media & molecular imaging2022
Endophytic Fungi and Secondary Metabolites of Rehmannia Glutinosa Based on Traditional Chinese Medicine Fingerprints.
Article in Contrast media & molecular imaging, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It has been retracted, and should not be counted. Cited by 3 papers.
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
3 citing papers in PubMed, 4 citations in OpenAlex.
- Genomic insights into Aspergillus tamarii TPD11: enhancing polyphyllin production and uncovering potential therapeutic applications.BMC genomics · 2024Article
- Functional Endophytes Regulating Plant Secondary Metabolism: Current Status, Prospects and Applications.International journal of molecular sciences · 2023Review
- Retracted: Endophytic Fungi and Secondary Metabolites of Rehmannia Glutinosa Based on Traditional Chinese Medicine Fingerprints.Contrast media & molecular imaging · 2023Article
Corrections and comments
- Retraction · 2023-11-29Compromised Peer Review · Investigation by Journal/Publisher · Investigation by Third Party · Paper Mill · Unreliable Results and/or Conclusions ·
- Retracted
Authors and funding
1 author at 1 institution in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Research on the active components of medicinal plants has always been the focus of research, and research on the active components of medicinal plant endophytic fungi and their secondary metabolites has also attracted widespread attention. Endophytic fungi of medicinal plants are widely distributed and are ubiquitous in various biological groups in nature. Rehmannia glutinosa contains a variety of active ingredients, which are regarded as the top grade of Chinese medicinal materials. It is of certain significance to study endophytic fungi and their metabolites of Rehmannia glutinosa. In this paper, endophytic fungi and their secondary metabolites of Rehmannia glutinosa were studied using fingerprint technology, which initially understands the diversity of endophytic fungi in Rehmannia glutinosa. In this paper, the roots and leaves of Rehmannia glutinosa were used as experimental materials. The fungi were cultured in the medium, the fungi were isolated and purified by the tissue block method, the fungal growth of Rehmannia glutinosa in different parts was determined, and the types of endophytic fungi were identified by microscopic identification and fingerprinting. The isolated strains were tested for biological activity using oryza oryzae spores, and highly active strains were screened. Fermentation products of endophytic fungi were separated and purified by chromatography, and the structure of the compounds was identified by nuclear magnetic resonance spectroscopy. Through the above studies, the population structure of endophytic fungi of Rehmannia glutinosa was determined, 3 highly active strains were found, and the structures of 7 endophytic fungi metabolites were identified, of which 3 were newly discovered compounds.
Indexed as
Identifiers
What OpenQuestion 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 OpenQuestion graph.