Catalogue Number
BN-O0935
Analysis Method
HPLC,NMR,MS
Specification
98%(HPLC)
Storage
2-8°C
Molecular Weight
1247.42
Appearance
Botanical Source
Structure Type
Category
Standards;Natural Pytochemical;API
SMILES
Synonyms
IUPAC Name
Density
Solubility
Flash Point
Boiling Point
Melting Point
InChl
InChl Key
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#:88797-59-5) 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.
24592307
Objective(s): HTLV-I and HIV virus quantification is an important marker for assessment of virus activities. Since there is a direct relationship between the number of virus and disease progression, HTLV-I and HIV co-infection might have an influence on the development of viral associated diseases, thus, viral replication of these viruses and co-infection were evaluated.
Materials and Methods: In this study, 40 subjects were selected; 14 HIV infected, 20 HTLV-I infected and 6 HTLV-I/HIV co-infected subjects. The amount of viruses was measured using qPCR TaqMan method and CD4 and CD8 lymphocytes were assessed by flow cytometry.
Results: The mean viral load of HIV infected subjects and HTLV-I infected individuals were 134626.07±60031.07 copies/ml and 373.6±143.3 copies/104 cells, respectively. The mean HIV viral load in co-infected group was 158947±78203.59 copies/ml which is higher than HIV infected group. The mean proviral load of HTLV-I in co-infected group was 222.33±82.56 copies/ml which is lower than HTLV-I infected group (P<0.05). Also, the mean white blood cell count was higher in co-infected group (5666.67±1146.49 cells/μl). However, the differences between these subjects did not reach to a statistical significance within 95% confidence interval level (P =0.1). No significant differences were observed regarding CD4 and CD8 positive lymphocytes between these groups. Conclusion: HTLV-I/HIV co-infection might promote HIV replication and could reduce the HTLV-I proviral load, in infected cells. Considering the presence of both viruses in Khorasan provinces, it encourages researchers and health administrators to have a better understanding of co-infection outcome.
HIV viral load, HTLV-I/HIV co-infection, HTLV-I proviral load, Lymphocytes
Assessment of HTLV-I proviral load, HIV viral load and CD4 T cell count in infected subjects; with an emphasis on viral replication in co-infection
Hossein Rahimi,1 Seyyed Abdolrahim Rezaee,2 Narges Valizade,3 Rosita Vakili,3 and Houshang Rafatpanah3,*
2014 Jan;
21580387
In the title compound, C26H30O7, one atom in the cyclohexanone ring is disordered over two positions with a site-occupancy ratio of 0.871 (6):0.129 (6). The dihedral angles formed between the mean plane through the six C atoms of the major component of the cyclohexanone ring and two benzene rings are 35.09 (10) and 34.21 (10)°; the corresponding angles for the minor component are 20.1 (2) and 19.5 (2)°. Both the major and minor disordered components of the cyclohexanone ring adopt half-boat conformations. In the crystal packing, intermolecular C—H⋯O hydrogen bonds connect the molecules into a three-dimensional network.
(2E,6E)-2,6-Bis(2,4,5-trimethoxybenzylidene)cyclohexanone
Tara Shahani,a Hoong-Kun Fun,a,*‡ G. L. Balaji,b V. Vijayakumar,b and S. Sarveswarib
2010 Mar 1;
30613112
Motivated by theoretical and empirical research in life course sociology, we examine relationships between trajectories of work and family roles across the life course and four measures of economic well-being in later adulthood. Using data from the Wisconsin Longitudinal Study (WLS), and multiple trajectory-generating methods, we first identify latent trajectories of work and family roles between late adolescence and age 65. We then model economic well-being (at age 65) as a function of these trajectories and contemporaneously measured indicators of older adults’ work, family, and health statuses. Our central finding is that trajectories of work and family experiences across the life course have direct effects on later-life economic well-being, as well as indirect effects that operate through more proximate measures of work, family, and other characteristics. We argue that these findings have important implications for how social scientists conceptualize and model the relationship between later-life economic outcomes and people’s work and family experiences across the life course.
The Impact of Work and Family Life Histories on Economic Well-Being at Older Ages*
Andrew Halpern-Manners, John Robert Warren, James Raymo, and D. Adam Nicholson
2019 Jan 4.
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