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  • Brand : BIOFRON

  • Catalogue Number : BN-O0935

  • Specification : 98%(HPLC)

  • CAS number : 88797-59-5

  • Formula : C61H98O26

  • Molecular Weight : 1247.42

  • Volume : 5mg

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Standards;Natural Pytochemical;API






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

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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

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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,*

Publish date

2014 Jan;




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.




Tara Shahani,a Hoong-Kun Fun,a,*‡ G. L. Balaji,b V. Vijayakumar,b and S. Sarveswarib

Publish date

2010 Mar 1;




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

Publish date

2019 Jan 4.

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