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1-Hydroxyrutaecarpine

$1,120

  • Brand : BIOFRON

  • Catalogue Number : BN-O1580

  • Specification : 98%(HPLC)

  • CAS number : 53600-24-1

  • Formula : C17H16O7

  • Molecular Weight : 303.3

  • PUBCHEM ID : 10447696

  • Volume : 5mg

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Catalogue Number

BN-O1580

Analysis Method

HPLC,NMR,MS

Specification

98%(HPLC)

Storage

-20℃

Molecular Weight

303.3

Appearance

Yellow powder

Botanical Source

This product is isolated and purified from the fruits of Evodia rutaecarpa (Juss.) Benth.

Structure Type

Alkaloids

Category

Standards;Natural Pytochemical;API

SMILES

C1CN2C(=NC3=C(C2=O)C=CC=C3O)C4=C1C5=CC=CC=C5N4

Synonyms

6-Methylmercapto-hexan-1-ol/7-thiaoctanol/1-hydroxyrutaecarpine/Indolo[2',3':3,4]pyrido[2,1-b]quinazolin-5(7H)-one, 8,13-dihydro-1-hydroxy-/6-methylsulfanyl-hexan-1-ol/1-Hydroxy-8,13-dihydroindolo[2',3':3,4]pyrido[2,1-b]quinazolin-5(7H)-one/1-Hydroxy-7-thiaoctane

IUPAC Name

19-hydroxy-3,13,21-triazapentacyclo[11.8.0.02,10.04,9.015,20]henicosa-1(21),2(10),4,6,8,15(20),16,18-octaen-14-one

Density

1.6±0.1 g/cm3

Solubility

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

Flash Point

317.7±34.3 °C

Boiling Point

601.7±65.0 °C at 760 mmHg

Melting Point

InChl

InChl Key

IBBYAIMGJMOBLQ-UHFFFAOYSA-N

WGK Germany

RID/ADR

HS Code Reference

2933990000

Personal Projective Equipment

Correct Usage

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

Meta Tag

provides coniferyl ferulate(CAS#:53600-24-1) 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.

PMID

15670462

Abstract

Introduction
Colorectal cancer is the second leading cause of cancer death in New York City. In March 2003, the New York City Department of Health and Mental Hygiene recommended colonoscopy every 10 years as the preferred screening test for adults aged 50 years and older in New York City. To screen all eligible adults in New York City would require that approximately 200,000 colonoscopy exams be performed annually. As part of this recommendation, we evaluated current colonoscopy capacity in New York City hospitals.

Methods
We surveyed endoscopy suite nursing or administrative staff at all 66 adult acute care hospitals performing colonoscopy in New York City. Data on colonoscopy procedures performed in 2002 were collected between February and June 2003.

Results
All hospitals and two affiliated clinics responded. The number of hospital-based colonoscopy exams performed in 2002 was estimated to be 126,000. Of these, 53,600 (43%) were estimated to be for screening. Hospitals reported their maximum annual capacity to be 195,200, approximately 69,100 more than current practice. Reported barriers to performing more colonoscopy exams included inadequate suite time and space (31%), inadequate staffing (28%), and insufficient patient referrals (24%).

Conclusion
In 2003, endoscopy suites at New York City hospitals performed approximately one quarter of the estimated citywide need of 200,000 screening colonoscopies. Procedures conducted in outpatient office settings were not assessed. Most endoscopy suites, particularly private hospitals, reported having the capacity to conduct additional procedures. Hospitals and endoscopy suites should prioritize the development of institutional measures to increase the number of persons receiving screening colonoscopy.

Title

The Volume and Capacity of Colonoscopy Procedures Performed at New York City Hospitals in 2002

Author

Jennifer C.F. Leng, MD, MPH,corresponding author Lorna E Thorpe, PhD, Gabe E Feldman, MD, MPH, MBA, MHA, Pauline A Thomas, MD, and Thomas R Frieden, MD, MPH

Publish date

2005 Jan;

PMID

2332400

Abstract

The complete nucleotide sequence of the hutH gene, encoding histidine ammonia-lyase (histidase), in Pseudomonas putida ATCC 12633 has been determined from the appropriate portions of the hut region that had been cloned into Escherichia coli. The resulting DNA sequence revealed an open reading frame of 1,530 base pairs, corresponding to a protein subunit of approximate molecular weight 53,600, in the location previously identified for the histidase gene by Tn1000 mutagenesis. Translation began at a GTG codon, but direct protein sequencing revealed that the initiating amino acid was removed posttranslationally to provide an N-terminal threonine; 11 additional residues completely agreed with the predicted amino acid sequence. This sequence excluded the possibility that a dehydroalanine unit, the postulated coenzyme for histidase, is attached at the N terminus of histidase subunits. Comparison of the P. putida histidase gene sequence with that of a Bacillus subtilis region encoding histidase revealed 42% identity at the protein level. Although the hutU (urocanase) and hutH (histidase) genes are induced by urocanate and normally are transcribed as a unit beginning with hutU, analysis of the region immediately upstream of the histidase gene revealed a potential weak promoter that may possibly be used to maintain a basal level of histidase for the generation of inducer (urocanate) when histidine levels are elevated.

Title

Sequence analysis of the hutH gene encoding histidine ammonia-lyase in Pseudomonas putida

Author

M W Consevage and A T Phillips

Publish date

1990 May;

PMID

30664471

Abstract

Background
Obesity is an important risk factor for many chronic diseases. Mobile health interventions such as smartphone apps can potentially provide a convenient low-cost addition to other obesity reduction strategies.

Objective
This study aimed to estimate the impacts on quality-adjusted life-years (QALYs) gained and health system costs over the remainder of the life span of the New Zealand population (N=4.4 million) for a smartphone app promotion intervention in 1 calendar year (2011) using currently available apps for weight loss.

Methods
The intervention was a national mass media promotion of selected smartphone apps for weight loss compared with no dedicated promotion. A multistate life table model including 14 body mass index-related diseases was used to estimate QALYs gained and health systems costs. A lifetime horizon, 3% discount rate, and health system perspective were used. The proportion of the target population receiving the intervention (1.36%) was calculated using the best evidence for the proportion who have access to smartphones, are likely to see the mass media campaign promoting the app, are likely to download a weight loss app, and are likely to continue using this app.

Results
In the base-case model, the smartphone app promotion intervention generated 29 QALYs (95% uncertainty interval, UI: 14-52) and cost the health system US $1.6 million (95% UI: 1.1-2.0 million) with the standard download rate. Under plausible assumptions, QALYs increased to 59 (95% UI: 27-107) and costs decreased to US $1.2 million (95% UI: 0.5-1.8) when standard download rates were doubled. Costs per QALY gained were US $53,600 for the standard download rate and US $20,100 when download rates were doubled. On the basis of a threshold of US $30,000 per QALY, this intervention was cost-effective for Māori when the standard download rates were increased by 50% and also for the total population when download rates were doubled.

Conclusions
In this modeling study, the mass media promotion of a smartphone app for weight loss produced relatively small health gains on a population level and was of borderline cost-effectiveness for the total population. Nevertheless, the scope for this type of intervention may expand with increasing smartphone use, more easy-to-use and effective apps becoming available, and with recommendations to use such apps being integrated into dietary counseling by health workers.

KEYWORDS

weight loss diet, telemedicine, smartphone, cost-utility analysis, life tables, quality-adjusted life years

Title

Health Benefits and Cost-Effectiveness From Promoting Smartphone Apps for Weight Loss: Multistate Life Table Modeling

Author

Reviewed by Yijiong Yang, Penny Reeves, and Ali Mohammadabadi Christine Cleghorn, BSc, MSc, PhD,corresponding author1 Nick Wilson, DIH, MBChB, MPH,1 Nisha Nair, MD, MPH,1 Giorgi Kvizhinadze, BSc, MSc, PhD,1 Nhung Nghiem, BEcon, MEcon, PhD,1 Melissa McLeod, MBChB, MPH, FNZCPHM,1 and Tony Blakely, MBChB, MPH, PhD, FAFPHM1

Publish date

2019 Jan


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