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Soyasapogenol D

$560

  • Brand : BIOFRON

  • Catalogue Number : BD-P0446

  • Specification : 98.0%(HPLC)

  • CAS number : 65892-76-4

  • Formula : C31H52O3

  • Molecular Weight : 472.743

  • PUBCHEM ID : 46173903

  • Volume : 5mg

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Quantity
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Catalogue Number

BD-P0446

Analysis Method

HPLC,NMR,MS

Specification

98.0%(HPLC)

Storage

2-8°C

Molecular Weight

472.743

Appearance

Powder

Botanical Source

Structure Type

Triterpenoids

Category

SMILES

CC1(CC(C2(CCC3(C(=C2C1)CCC4C3(CCC5C4(CCC(C5(C)CO)O)C)C)C)C)OC)C

Synonyms

(3S,4S,4aR,6aR,6bS,8aR,9R,14aR,14bR)-4-(hydroxymethyl)-9-methoxy-4,6a,6b,8a,11,11,14b-heptamethyl-1,2,3,4a,5,6,7,8,9,10,12,13,14,14a-tetradecahydropicen-3-ol

IUPAC Name

(3S,4S,4aR,6aR,6bS,8aR,9R,14aR,14bR)-4-(hydroxymethyl)-9-methoxy-4,6a,6b,8a,11,11,14b-heptamethyl-1,2,3,4a,5,6,7,8,9,10,12,13,14,14a-tetradecahydropicen-3-ol

Applications

Density

1.074g/cm3

Solubility

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

Flash Point

283.445°C

Boiling Point

545.065°C at 760 mmHg

Melting Point

InChl

InChI=1S/C31H52O3/c1-26(2)17-21-20-9-10-23-28(4)13-12-24(33)29(5,19-32)22(28)11-14-31(23,7)30(20,6)16-15-27(21,3)25(18-26)34-8/h22-25,32-33H,9-19H2,1-8H3/t22-,23-,24+,25-,27-,28+,29-,30-,31-/m1/s1

InChl Key

JAQZKPHHLRTVCY-ZHRKTGFNSA-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#:65892-76-4) 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

32509393

Abstract

Non‐invasive screening based on biochemical analysis of maternal serum or urine, or fetal ultrasound measurements, allows estimates of the risk of a pregnancy being affected and provides information to guide decisions about definitive testing.

KEYWORDS

Metastasis, liver, SEER, epidemiology

Title

Incidence and prognosis of liver metastasis at diagnosis: a pan-cancer population-based study

Author

Shuncong Wang,1 Yuanbo Feng,1 Johan Swinnen,1 Raymond Oyen,1 Yue Li,2 and Yicheng Ni1

Publish date

2020;

PMID

26918818

Abstract

Background
Tuberculosis remains a major public health challenge for India. Various studies have documented different levels of TB and multi-drug resistant (MDR) TB among diverse groups of the population. In view of renewed targets set under the End TB strategy by 2035, there is an urgent need for TB diagnosis to be strengthened. Drawing on data from a recent, multisite study, we address key questions for TB diagnosis amongst symptomatics presenting for care: are there subgroups of patients that are more likely than others, to be positive for TB? In turn, amongst these positive cases, are there factors—apart from treatment history—that may be predictive for multi-drug resistance?

Methods
We used data from a multi-centric prospective demonstration study, conducted from March 2012 to December 2013 in 18 sub-district level TB programme units (TUs) in India and covering a population of 8.8 million. In place of standard diagnostic tests, upfront Xpert MTB/RIF testing was offered to all presumptive TB symptomatics. Here, using data from this study, we used logistic regression to identify association between risk factors and TB and Rifampicin-Resistant TB among symptomatics enrolled in the study.

Results
We find that male gender; history of TB treatment; and adult age compared with either children or the elderly are risk factors associated with high TB detection amongst symptomatics, across the TUs. While treatment history is found be a significant risk factor for rifampicin-resistant TB, elderly (65+ yrs) people have significantly lower risk than other age groups. However, pediatric TB cases have no less risk of rifampicin resistance as compared with adults (OR 1.23 (95% C.I. 0.85-1.76)). Similarly, risk of rifampicin resistance among both the genders was the same. These patterns applied across the study sites involved. Notably in Mumbai, amongst those patients with microbiological confirmation of TB, female patients showed a higher risk of having MDR-TB than male patients.

Conclusion
Our results cast fresh light on the characteristics of symptomatics presenting for care who are most likely to be microbiologically positive for TB, and for rifampicin resistance. The challenges posed by TB control are complex and multifactorial: evidence from diverse sources, including retrospective studies such as that addressed here, can be invaluable in informing future strategies to accelerate declines in TB burden.

Title

Factors Associated with Tuberculosis and Rifampicin-Resistant Tuberculosis amongst Symptomatic Patients in India: A Retrospective Analysis

Author

Sreenivas Achuthan Nair,1 Neeraj Raizada,2,* Kuldeep Singh Sachdeva,3 Claudia Denkinger,2 Samuel Schumacher,2 Puneet Dewan,4 Shubhangi Kulsange,2 Catharina Boehme,2 Chinnambedu Nainarappan Paramsivan,2 and Nimalan Arinaminpathy5

Publish date

2016;

PMID

28524930

Abstract

Background
The prevalence of disease‐related malnutrition in Western European hospitals is estimated to be about 30%. There is no consensus whether poor nutritional status causes poorer clinical outcome or if it is merely associated with it. The intention with all forms of nutrition support is to increase uptake of essential nutrients and improve clinical outcome. Previous reviews have shown conflicting results with regard to the effects of nutrition support.

Objectives
To assess the benefits and harms of nutrition support versus no intervention, treatment as usual, or placebo in hospitalised adults at nutritional risk.

Search methods
We searched Cochrane Central Register of Controlled Trials (CENTRAL) in the Cochrane Library, MEDLINE (Ovid SP), Embase (Ovid SP), LILACS (BIREME), and Science Citation Index Expanded (Web of Science). We also searched the World Health Organization International Clinical Trials Registry Platform (www.who.int/ictrp); ClinicalTrials.gov; Turning Research Into Practice (TRIP); Google Scholar; and BIOSIS, as well as relevant bibliographies of review articles and personal files. All searches are current to February 2016.

Selection criteria
We include randomised clinical trials, irrespective of publication type, publication date, and language, comparing nutrition support versus control in hospitalised adults at nutritional risk. We exclude trials assessing non‐standard nutrition support.

Data collection and analysis
We used standard methodological procedures expected by Cochrane and the Cochrane Hepato‐Biliary Group. We used trial domains to assess the risks of systematic error (bias). We conducted Trial Sequential Analyses to control for the risks of random errors. We considered a P value of 0.025 or less as statistically significant. We used GRADE methodology. Our primary outcomes were all‐cause mortality, serious adverse events, and health‐related quality of life.

Main results
We included 244 randomised clinical trials with 28,619 participants that met our inclusion criteria. We considered all trials to be at high risk of bias. Two trials accounted for one‐third of all included participants. The included participants were heterogenous with regard to disease (20 different medical specialties). The experimental interventions were parenteral nutrition (86 trials); enteral nutrition (tube‐feeding) (80 trials); oral nutrition support (55 trials); mixed experimental intervention (12 trials); general nutrition support (9 trials); and fortified food (2 trials). The control interventions were treatment as usual (122 trials); no intervention (107 trials); and placebo (15 trials). In 204/244 trials, the intervention lasted three days or more.

We found no evidence of a difference between nutrition support and control for short‐term mortality (end of intervention). The absolute risk was 8.3% across the control groups compared with 7.8% (7.1% to 8.5%) in the intervention groups, based on the risk ratio (RR) of 0.94 (95% confidence interval (CI) 0.86 to 1.03, P = 0.16, 21,758 participants, 114 trials, low quality of evidence). We found no evidence of a difference between nutrition support and control for long‐term mortality (maximum follow‐up). The absolute risk was 13.2% in the control group compared with 12.2% (11.6% to 13%) following nutritional interventions based on a RR of 0.93 (95% CI 0.88 to 0.99, P = 0.03, 23,170 participants, 127 trials, low quality of evidence). Trial Sequential Analysis showed we only had enough information to assess a risk ratio reduction of approximately 10% or more. A risk ratio reduction of 10% or more could be rejected.

We found no evidence of a difference between nutrition support and control for short‐term serious adverse events. The absolute risk was 9.9% in the control groups versus 9.2% (8.5% to 10%), with nutrition based on the RR of 0.93 (95% CI 0.86 to 1.01, P = 0.07, 22,087 participants, 123 trials, low quality of evidence). At long‐term follow‐up, the reduction in the risk of serious adverse events was 1.5%, from 15.2% in control groups to 13.8% (12.9% to 14.7%) following nutritional support (RR 0.91, 95% CI 0.85 to 0.97, P = 0.004, 23,413 participants, 137 trials, low quality of evidence). However, the Trial Sequential Analysis showed we only had enough information to assess a risk ratio reduction of approximately 10% or more. A risk ratio reduction of 10% or more could be rejected.

Trial Sequential Analysis of enteral nutrition alone showed that enteral nutrition might reduce serious adverse events at maximum follow‐up in people with different diseases. We could find no beneficial effect of oral nutrition support or parenteral nutrition support on all‐cause mortality and serious adverse events in any subgroup.

Only 16 trials assessed health‐related quality of life. We performed a meta‐analysis of two trials reporting EuroQoL utility score at long‐term follow‐up and found very low quality of evidence for effects of nutritional support on quality of life (mean difference (MD) ‐0.01, 95% CI ‐0.03 to 0.01; 3961 participants, two trials). Trial Sequential Analyses showed that we did not have enough information to confirm or reject clinically relevant intervention effects on quality of life.

Nutrition support may increase weight at short‐term follow‐up (MD 1.32 kg, 95% CI 0.65 to 2.00, 5445 participants, 68 trials, very low quality of evidence).

Authors’ conclusions
There is low‐quality evidence for the effects of nutrition support on mortality and serious adverse events. Based on the results of our review, it does not appear to lead to a risk ratio reduction of approximately 10% or more in either all‐cause mortality or serious adverse events at short‐term and long‐term follow‐up.

There is very low‐quality evidence for an increase in weight with nutrition support at the end of treatment in hospitalised adults determined to be at nutritional risk. The effects of nutrition support on all remaining outcomes are unclear.

Despite the clinically heterogenous population and the high risk of bias of all included trials, our analyses showed limited signs of statistical heterogeneity. Further trials may be warranted, assessing enteral nutrition (tube‐feeding) for different patient groups. Future trials ought to be conducted with low risks of systematic errors and low risks of random errors, and they also ought to assess health‐related quality of life.

Title

Nutrition support in hospitalised adults at nutritional risk

Author

Joshua Feinberg,corresponding author Emil Eik Nielsen, Steven Kwasi Korang, Kirstine Halberg Engell, Marie Skøtt Nielsen, Kang Zhang, Maria Didriksen, Lisbeth Lund, Niklas Lindahl, Sara Hallum, Ning Liang, Wenjing Xiong, Xuemei Yang, Pernille Brunsgaard, Alexandre Garioud, Sanam Safi, Jane Lindschou, Jens Kondrup, Christian Gluud, and Janus C Jakobsen

Publish date

2017 May;