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Rosthornin A


  • Brand : BIOFRON

  • Catalogue Number : BN-O1002

  • Specification : 99%(HPLC)

  • CAS number : 125164-55-8

  • Formula : C22H32O5

  • Molecular Weight : 376.49

  • PUBCHEM ID : 14414480

  • Volume : 5mg

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Catalogue Number


Analysis Method






Molecular Weight




Botanical Source

This product is isolated and purified from the herbs of Rabdosia rosthornii

Structure Type



Standards;Natural Pytochemical;API




(5β,8α,9β,10α,11β,13α)-13,18-Dihydroxy-15-oxokaur-16-en-11-yl acetate/rosthornin A/isodopharicin C/rosoxacin ethyl ester/1-ethyl-4-oxo-7-pyridin-4-yl-1,4-dihydro-quinoline-3-carboxylic acid ethyl ester


[(1R,4S,5R,9R,10S,11S,13R)-13-hydroxy-5-(hydroxymethyl)-5,9-dimethyl-14-methylidene-15-oxo-11-tetracyclo[,10.04,9]hexadecanyl] acetate


1.2±0.1 g/cm3


Soluble in Chloroform,Dichloromethane,Ethyl Acetate,DMSO,Acetone,etc.

Flash Point

173.8±23.6 °C

Boiling Point

513.3±50.0 °C at 760 mmHg

Melting Point



InChl Key


WGK Germany


HS Code Reference


Personal Projective Equipment

Correct Usage

For Reference Standard and R&D, Not for Human Use Directly.

Meta Tag

provides coniferyl ferulate(CAS#:125164-55-8) MSDS, density, melting point, boiling point, structure, formula, molecular weight etc. Articles of coniferyl ferulate are included as well.>> amp version: coniferyl ferulate

No Technical Documents Available For This Product.




Verbal memory is typically studied using immediate recall (IR) and delayed recall (DR) scores, although DR is dependent on IR capability. Separating these components may be useful for deciphering the genetic variation in age-related memory abilities. This study was conducted to (a) construct individual trajectories in IR and independent aspects of delayed recall, or residualized-DR (rDR), across older adulthood; and (b) identify genetic markers that contribute to four estimated phenotypes: IR and rDR levels and changes after age 60. A cognitively intact sample (N = 20,650 with 125,164 observations) was drawn from the U.S. Health and Retirement Study, a nationally representative study of adults aged 50 and older. Mixed effects regression models were constructed using repeated measures from data collected every two years (1996-2012) to estimate level at age 60 and change in memory post-60 in IR and rDR. Genome-wide association scans (GWAS) were conducted in the genotypic subsample (N = 7,486) using ~1.2 million single nucleotide polymorphisms (SNPs). One SNP (rs2075650) in TOMM40 associated with rDR level at the genome-wide level (p = 5.0×10-08), an effect that replicated in an independent sample from the English Longitudinal Study on Ageing (N = 6,898 with 41,328 observations). Meta-analysis of rDR level confirmed the association (p = 5.0×10-11) and identified two others in TOMM40 (rs71352238 p = 1.0×10-10; rs157582 p = 7.0×10-09), and one in APOE (rs769449 p = 3.1 x10-12). Meta-analysis of IR change identified associations with three of the same SNPs in TOMM40 (rs157582 p = 8.3×10-10; rs71352238 p = 1.9×10-09) and APOE (rs769449 p = 2.2×10-08). Conditional analyses indicate GWAS signals on rDR level were driven by APOE, whereas signals on IR change were driven by TOMM40. Additionally, we found that TOMM40 had effects independent of APOE e4 on both phenotypes. Findings from this first U.S. population-based GWAS study conducted on both age-related immediate and delayed verbal memory merit continued examination in other samples and additional measures of verbal memory.


Genetic variants specific to aging-related verbal memory: Insights from GWASs in a population-based cohort


Thalida E. Arpawong, Conceptualization, Data curation, Formal analysis, Funding acquisition, Investigation, Methodology, Project administration, Resources, Software, Validation, Visualization, Writing - original draft, Writing - review & editing,1,* Neil Pendleton, Resources, Supervision, Writing - review & editing,2 Krisztina Mekli, Validation, Writing - review & editing,3 John J. McArdle, Funding acquisition, Methodology,1,4 Margaret Gatz, Writing - review & editing,1,4,5 Chris Armoskus, Resources,5 James A. Knowles, Resources, Writing - original draft,6 and Carol A. Prescott, Conceptualization, Data curation, Funding acquisition, Methodology, Writing - original draft, Writing - review & editing1,4 Stephen D. Ginsberg, Editor

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Important metabolic changes occur during transition period of late pregnancy and early lactation to meet increasing energy demands of the growing fetus and for milk production. The aim of this investigation is to present an innovative and non-invasive tool using ewe earwax sample analysis to assess the metabolic profile in ewes during late pregnancy and early lactation. In this work, earwax samples were collected from 28 healthy Brazilian Santa Inês ewes divided into 3 sub-groups: 9 non-pregnant ewes, 6 pregnant ewes in the last 30 days of gestation, and 13 lactating ewes ≤ 30 days postpartum. Then, a range of metabolites including volatile organic compounds (VOC), amino acids (AA), and minerals were profiled and quantified in the samples by applying headspace gas chromatography/mass spectrometry, high performance liquid chromatography/tandem mass spectrometry, and inductively coupled plasma-optical emission spectrometry, respectively. As evident in our results, significant changes were observed in the metabolite profile of earwax between the studied groups where a remarkable elevation was detected in the levels of non-esterified fatty acids, alcohols, ketones, and hydroxy urea in the VOC profile of samples obtained from pregnant and lactating ewes. Meanwhile, a significant decrease was detected in the levels of 9 minerals and 14 AA including essential AA (leucine, phenyl alanine, lysine, isoleucine, threonine, valine), conditionally essential AA (arginine, glycine, tyrosine, proline, serine), and a non-essential AA (alanine). Multivariate analysis using robust principal component analysis and hierarchical cluster analysis was successfully applied to discriminate the three study groups using the variations of metabolites in the two stress states (pregnancy and lactation) from the healthy non-stress condition. The innovative developed method was successful in evaluating pre- and post-parturient metabolic changes using earwax and can in the future be applied to recognize markers for diagnosis, prevention, and intervention of pregnancy complications in ewes.


Earwax metabolomics: An innovative pilot metabolic profiling study for assessing metabolic changes in ewes during periparturition period


Engy Shokry, Conceptualization, Data curation, Funding acquisition, Investigation, Methodology, Project administration, Resources, Software, Supervision, Validation, Visualization, Writing - original draft, Writing - review & editing,#1,* Julião Pereira, Investigation, Methodology,1 Jair Gonzalez Marques Júnior, Investigation, Methodology,1 Paulo Henrique Jorge da Cunha, Resources, Supervision, Visualization, Writing - review & editing,2,‡ Antônio Dionisio Feitosa Noronha Filho, Conceptualization, Resources,2,‡ Jessica Alves da Silva, Resources,2 Maria Clorinda Soares Fioravanti, Conceptualization, Project administration, Resources, Supervision, Visualization, Writing - original draft, Writing - review & editing,2,‡ Anselmo Elcana de Oliveira, Data curation, Formal analysis, Software, Visualization, Writing - original draft, Writing - review & editing,3,‡ and Nelson Roberto Antoniosi Filho, Conceptualization, Data curation, Funding acquisition, Methodology, Project administration, Resources, Supervision, Validation, Visualization, Writing - original draft, Writing - review & editing#1

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Thymic adenocarcinoma is an extremely rare subtype of thymic epithelial tumors. Due to its rarity, there is currently no sequencing approach for thymic adenocarcinoma.

We performed whole exome and transcriptome sequencing on a case of thymic adenocarcinoma and performed subsequent validation using Sanger sequencing.

The case of thymic adenocarcinoma showed aggressive behaviors with systemic bone metastases. We identified a high incidence of genetic aberrations, which included somatic mutations in RNASEL, PEG10, TNFSF15, TP53, TGFB2, and FAT1. Copy number analysis revealed a complex chromosomal rearrangement of chromosome 8, which resulted in gene fusion between MCM4 and SNTB1 and dramatic amplification of MYC and NDRG1. Focal deletion was detected at human leukocyte antigen (HLA) class II alleles, which was previously observed in thymic epithelial tumors. We further investigated fusion transcripts using RNA-seq data and found an intergenic splicing event between the CTBS and GNG5 transcript. Finally, enrichment analysis using all the variants represented the immune system dysfunction in thymic adenocarcinoma.

Thymic adenocarcinoma shows highly malignant characteristics with alterations in several cancer-related genes.

Electronic supplementary material
The online version of this article (doi:10.1186/s12885-017-3282-9) contains supplementary material, which is available to authorized users.


Thymic adenocarcinoma, Thymic epithelial tumors, Whole exome sequencing, Somatic mutations, Somatic copy number alterations


Characterization of genetic aberrations in a single case of metastatic thymic adenocarcinoma


Yeonghun Lee,1 Sehhoon Park,2 Se-Hoon Lee,corresponding author2,3 and Hyunju Leecorresponding author1

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