N-4909

N-4909

* Please be kindly noted products are not for therapeutic use. We do not sell to patients.

Category Antibiotics
Catalog number BBF-03684
CAS
Molecular Weight 1035.36
Molecular Formula C53H94N8O12

Online Inquiry

Description

It is a cyclopeptide produced by the strain of Bacillus sp. No 4691. N-4909 can stimulate the secretion of Apolipoprotein E in human hepatoma HEP G2 cells.

Specification

Synonyms N 4909
IUPAC Name 2-[(3S,6R,9S,12S,15R,18S,21S,25R)-21-(3-amino-3-oxopropyl)-3-butan-2-yl-6,15,18-tris(2-methylpropyl)-25-(10-methylundecyl)-2,5,8,11,14,17,20,23-octaoxo-12-propan-2-yl-1-oxa-4,7,10,13,16,19,22-heptazacyclopentacos-9-yl]acetic acid
Canonical SMILES CCC(C)C1C(=O)OC(CC(=O)NC(C(=O)NC(C(=O)NC(C(=O)NC(C(=O)NC(C(=O)NC(C(=O)N1)CC(C)C)CC(=O)O)C(C)C)CC(C)C)CC(C)C)CCC(=O)N)CCCCCCCCCC(C)C
InChI InChI=1S/C53H94N8O12/c1-13-35(12)46-53(72)73-36(22-20-18-16-14-15-17-19-21-30(2)3)28-43(63)55-37(23-24-42(54)62)47(66)56-38(25-31(4)5)48(67)57-39(26-32(6)7)50(69)60-45(34(10)11)52(71)59-41(29-44(64)65)49(68)58-40(27-33(8)9)51(70)61-46/h30-41,45-46H,13-29H2,1-12H3,(H2,54,62)(H,55,63)(H,56,66)(H,57,67)(H,58,68)(H,59,71)(H,60,69)(H,61,70)(H,64,65)/t35?,36-,37+,38+,39-,40-,41+,45+,46+/m1/s1
InChI Key UFXZNDDRRLHZPP-RSFFFRAASA-N

Properties

Appearance White Powder

Reference Reading

1. Poor health, physical workload and occupational social class as determinants of health-related job loss: results from a prospective cohort study in the UK
Ranu Sewdas, Allard J van der Beek, Cecile R L Boot, Stefania D'Angelo, Holly E Syddall, Keith T Palmer, Karen Walker-Bone BMJ Open. 2019 Jul 11;9(7):e026423. doi: 10.1136/bmjopen-2018-026423.
Objectives: The aims of the present study were to assess the association and interactions of physical workload and poor health with health-related job loss (HRJL) among older workers, and the association and interactions of occupational social class and poor health with HRJL. Methods: Data were used from an existing prospective cohort study, Health and Employment after Fifty, where employed or self-employed workers aged 50-64 years (n=4909) were followed-up between 2014 and 2016. Associations between potential determinants (self-perceived health status, physical workload and occupational social class) and 2-year HRJL were examined by Cox regression analyses. To study whether physical workload or occupational social class moderates the influence of poor health on HRJL, additive and multiplicative interactions were calculated. Results: Older workers with poor self-perceived health status had increased risk of HRJL during the 2-year follow-up period (men: HR 2.57 (95%CI: 1.68 to 3.92); women: HR 3.26 (95%CI: 2.33 to 4.55)). Furthermore, men with high physical workload were at increased risk for HRJL (HR 1.63 (95%CI: 1.09 to 2.43)). No significant interactions (p<0.05) were identified between poor health and high physical workload, nor between poor health and lower occupational social class. Conclusion: Our study indicates that older workers in poor health, and older workers with a physically demanding job, are at increased risk of HRJL. Having a physically demanding job or working in routine/manual occupations does not moderate the association between poor health and HRJL.
2. International Variation in Outcomes Among People with Cardiovascular Disease or Cardiovascular Risk Factors and Impaired Glucose Tolerance: Insights from the NAVIGATOR Trial
Marilia Harumi Higuchi Dos Santos, Abhinav Sharma, Jie-Lena Sun, Karen Pieper, John J V McMurray, Rury R Holman, Renato D Lopes J Am Heart Assoc. 2017 Jan 13;6(1):e003892. doi: 10.1161/JAHA.116.003892.
Background: Regional differences in risk of diabetes mellitus and cardiovascular outcomes in people with impaired glucose tolerance are poorly characterized. Our objective was to evaluate regional variation in risk of new-onset diabetes mellitus, cardiovascular outcomes, and treatment effects in participants from the NAVIGATOR (Nateglinide and Valsartan in Impaired Glucose Tolerance Outcomes Research) trial. Methods and results: NAVIGATOR randomized people with impaired glucose tolerance and cardiovascular risk factors or with established cardiovascular disease to valsartan (or placebo) and to nateglinide (or placebo) with a median 5-year follow-up. Data from the 9306 participants were categorized by 5 regions: Asia (n=552); Europe (n=4909); Latin America (n=1406); North America (n=2146); and Australia, New Zealand, and South Africa (n=293). Analyzed outcomes included new-onset diabetes mellitus; cardiovascular death; a composite cardiovascular outcome of cardiovascular death, nonfatal myocardial infarction, or nonfatal stroke; and treatment effects of valsartan and nateglinide. Respective unadjusted 5-year risks for new-onset diabetes mellitus, cardiovascular death, and the composite cardiovascular outcome were 33%, 0.4%, and 4% for Asia; 34%, 2%, and 6% for Europe; 37%, 4%, and 8% for Latin America; 38%, 2%, and 6% for North America; and 32%, 4%, and 8% for Australia, New Zealand, and South Africa. After adjustment, compared with North America, European participants had a lower risk of new-onset diabetes mellitus (hazard ratio 0.86, 95% CI 0.78-0.94; P=0.001), whereas Latin American participants had a higher risk of cardiovascular death (hazard ratio 2.68, 95% CI 1.82-3.96; P<0.0001) and the composite cardiovascular outcome (hazard ratio 1.48, 95% CI 1.15-1.92; P=0.003). No differential interactions between treatment and geographic location were identified. Conclusions: Major regional differences regarding the risk of new-onset diabetes mellitus and cardiovascular outcomes in NAVIGATOR participants were identified. These differences should be taken into account when planning global trials. Clinical trial registration: URL: http://www.ClinicalTrials.gov. Unique identifier: NCT00097786.
3. Health Care Resource Use, Costs, and Diagnosis Patterns in Patients With Schizophrenia and Bipolar Disorder: Real-world Evidence From US Claims Databases
Michael S Broder, Mallik Greene, Eunice Chang, Ann Hartry, Maëlys Touya, Jennifer Munday, Tingjian Yan Clin Ther. 2018 Oct;40(10):1670-1682. doi: 10.1016/j.clinthera.2018.08.004. Epub 2018 Sep 5.
Purpose: Schizophrenia (SCZ) and bipolar disorder (BD) are typically viewed as nonconcurrent psychiatric disorders, yet patients may experience mood and SCZ symptoms simultaneously. Several studies have shown overlap between SCZ and BD symptoms and susceptibility genes. This study explored the following: (1) patterns of administrative claims; (2) demographic characteristics and comorbidities; (3) health care resource use; and (4) health care costs in patients with diagnoses of SCZ, type I BD (BD-I), and both in a real-world setting. Methods: This study was a retrospective cohort trial using 4.5years (January 1, 2012-June 30, 2016) of Truven MarketScan commercial, Medicaid, and Medicare supplemental databases. We considered a patient to have a new episode of SCZ if he or she had 1 inpatient claim or 2 outpatient claims for SCZ within the identification period (January 1, 2013-June 30, 2015). BD-I was defined in an analogous way. Three study cohorts were defined: (1) SCZ alone (cohort I), met the claims-based diagnostic criteria for SCZ; (2) BD-I alone (cohort II), met the claims-based diagnostic criteria for BD-I; and (3) BD-I and SCZ (cohort III), met the claims-based diagnostic criteria for both SCZ and BD-I. Findings: Of the 63,725 patients in the final sample, 11.5% (n = 7336) had a new episode of SCZ alone (cohort I), 80.8% (n = 51,480) had a new episode of BD-I alone (cohort II), and 7.7% (n = 4909) had new episodes of both SCZ and BD-I (cohort III). Considering cohort III, 18.8% (n = 927) received both diagnoses on the same day. In the year after diagnosis, the cohort having a diagnosis of both SCZ and BD-I (cohort III) had the highest all-cause hospitalization rates (67.4% vs 39.5% in SCZ alone and 33.7% in BD-I alone) and the highest mean (SD) number of emergency department visits (3.44 [7.1] vs 1.39 [3.5] in SCZ alone and 1.29 [3.2] in BD-I alone). All-cause total health care costs were highest in the cohort having a diagnosis of both SCZ and BD-I (mean [SD]), $51,085 [$62,759]), followed by the SCZ alone cohort ($34,204 [$52,995]), and the BD-I alone cohort ($26,396 [$48,294]). Implications: Our analyses indicate that a substantial number of patients received diagnoses of both SCZ and BD-I, based on claims, in a 2.5-year period. Patients with a diagnosis of both SCZ and BD-I had higher health care utilization and costs than patients with either diagnosis alone. We identified differential patient characteristics, utilization of medications and health care services, and health care costs among the cohorts.

Bio Calculators

Stock concentration: *
Desired final volume: *
Desired concentration: *

L

* Our calculator is based on the following equation:
Concentration (start) x Volume (start) = Concentration (final) x Volume (final)
It is commonly abbreviated as: C1V1 = C2V2

* Total Molecular Weight:
g/mol
Tip: Chemical formula is case sensitive. C22H30N4O c22h30n40
g/mol
g

Recently viewed products

Online Inquiry

Verification code
cartIcon
Inquiry Basket