1,010 research outputs found
DNA damage markers in dermal fibroblasts in vitro reflect chronological donor age
No full textThe aging process is accompanied by an accumulation of cellular damage, which compromises the viability and function of cells and tissues. We aim to further explore the association between in vitro DNA damage markers and the chronological age of the donor, as well as long-lived family membership and presence of cardiovascular diseases. Therefore, numbers of 53BP1 foci, telomere-associated foci (TAF) and micronuclei were measured in cultured dermal fibroblasts obtained from three age groups of donors (mean age 22, 63 and 90 years). Fibroblasts were cultured without a stressor and with 0.6 μM rotenone for 3 days. We found that 53BP1 foci and TAF were more frequently present in fibroblasts of old donors compared to middle-aged and young donors. No association between micronuclei and donor age was found. Within the fibroblasts of the middle-aged donors we did not find associations between DNA damage markers and long-lived family membership or cardiovascular disease. Results were comparable when fibroblasts were stressed in vitro with rotenone. In conclusion, we found that DNA damage foci of cultured fibroblasts are significantly associated with the chronological age, but not biological age, of the donor
Genetic instability and aging: theories, facts, and future perspectives
No full text The fundamental mechanisms involved in the physiological deterioration observed with age in mammalian organisms have not yet been elucidated. It appears that random alterations in informational biomolecules and in their synthesis could be the basis of such physiological changes. There is, however, a lack of knowledge with respect to the frequency and characteristics of changes introduced in the cellular molecular machinery. Moreover, the driving force initiating the generation of such alterations and the order of events in which they occur are unknown at present. In this article, data concerning the hypothesis that the aging process is associated with widespread genetic instability are reviewed in the context of the complex interactions between the three major informational biomolecules, DNA, RNA, and protein. We conclude that the results obtained to date do not rule out the possibility that genetic instability in a wide sense is a major causal factor in a number of age-related phenomena. However, it appears that new strategies based on a new technology are ultimately necessary to elucidate the alterations in the intricately interwoven patterns of molecular control that could underlie the various aspects of the aging process. A first attempt is made to formulate the problems in this field and to provide some solutions.Key words: genetic instability, DNA and aging, gene expression, somatic mutations, DNA methylation, evolutionary aspects. </jats:p
Association of Cytomegalovirus Serostatus with ELOVL2 Methylation: Implications for Lipid Metabolism, Inflammation, DNA Damage, and Repair Capacity in the MARK-AGE Study Population
No full text: Cytomegalovirus (CMV) infection has been linked to accelerated biological aging, potentially increasing the risk of cardiovascular disease. DNA methylation of the gene Elongation Of Very Long Chain Fatty Acids-Like 2 (ELOVL2) is a molecular biomarker for aging, and its gene product is involved in polyunsaturated fatty acid synthesis, which impacts immune and inflammatory responses. This study, conducted in the MARK-AGE population, aimed to investigate the relationship between CMV infection and ELOVL2 methylation in adults aged 35-75, as well as the influence of CMV IgG levels on lipid metabolism, inflammation, DNA damage, and DNA repair. Our data revealed a higher prevalence of ischemic heart disease, atrial fibrillation, hypertension, and diabetes in CMV-positive individuals. CMV IgG levels were positively associated with ELOVL2 methylation at specific CpG sites and with increased expression of DNA methyltransferase-1 (DNMT1). CMV IgG was linked to lipid imbalances, such as increased BMI, VLDL-cholesterol, triglycerides, and HDL1-cholesterol. Additionally, ELOVL2 methylation was associated with systemic inflammation markers, lipid parameters and altered T-cell subsets. A negative correlation was observed between CMV IgG levels and both baseline DNA integrity and repair capacity. These results suggest that CMV infection might promote cardiovascular disease through ELOVL2 hypermethylation, lipid dysregulation, inflammation, and DNA damage
ComplexObjectMove
No full text<p><strong>ComplexObjectMove:</strong></p>
<p>This plenoptic sequence dataset "ComplexObjectMove" is provided by Eline Soetens, Gauthier Lafruit, Mehrdad Teratani members of LISA department, EPB (Ecole Polytechnique de Bruxelles), ULB (Université Libre de Bruxelles), Belgium and Jonghoon Yim, Byeungwoo Jeon members of the Departement of Electrical and Computer Engineering, SKKU (Sungkyunkwan University), Korea.</p>
<p><strong>License:</strong></p>
<p>CC BY-NC-SA</p>
<p><strong>Terms of Use:</strong></p>
<p>Any kind of publication or report using this sequence should refer to the following reference :</p>
<p>Eline Soetens, Jonghoon Yim, Byeungwoo Jeon, Gauthier Lafruit, Mehrdad Teratani, "ComplexObjectMove", 2024.</p>
<p>@misc{soetens_ComplexObjectMove_2024, title = {ComplexObjectMove}}, author = {Soetens, Eline and Yim, Jonghoon and Jeon, Byeungwoo and Lafruit, Gauthier and Teratani, Mehrdad }, month = jan, year = {2024}, doi = {10.5281/zenodo.10569052} }</p>
<p><strong>Content:</strong></p>
<p>This sequence was captured using a Raytrix R8 plenoptic camera [1] equipped with a 35mm lens. The sequence was recorded for 10 seconds at 30 fps with the Raytrix software RxLive 5.0 [2]. Each frame has a 3840 x 2160 resolution. The scene contains blocks with a simple texture, a sphere with a complex texture, two toy cars, and a reflective unicorn statue placed on a moving board. The toy cars and the unicorn statue present a lot of specularities, thus both objects have a non-Lambertian texture. The camera is fixed and only the objects are moving in the scene.</p>
<p>Please find a detailed description of the content of each file below:</p>
<ul>
<li><code>ComplexObjectMove</code>: Contains the 300 frames of the sequences in PNG format.</li>
<li><code>R8-ComplexObjectMove_Calibration.xml</code>: Contains the calibration parameters of the plenoptic camera given by the Raytrix SDK.</li>
</ul>
<p><strong>Reference and links:</strong></p>
<p>[1] <a href="https://raytrix.de/products/" target="_blank" rel="noopener">https://raytrix.de/products/</a></p>
<p>[2] <a href="https://raytrix.de/downloads/" target="_blank" rel="noopener">https://raytrix.de/downloads/</a></p><p>This work was supported in part by the FER 2021 project (1060H000066-FAISAN), Belgium; in part by the Emile DEFAY 2021 project (4R00H000236), Belgium; and in part by the FER 2023 project (1060H000075), Belgium. This work was supported in part by Basic Science Research Program (RS-2023-00208453) through the National Research Foundation of Korea (NRF) and by the ICT Creative Consilience Program (IITP-2023-2020-0-01821) supervised by the IITP(Institute for Information & communications Technology Planning & Evaluation), both funded by the Ministry of Science and ICT, Korea.</p>
ComplexObjectMoveRandomCam
No full text<h1>ComplexObjectMoveRandomCam:</h1>
<p>This plenoptic sequence dataset "ComplexObjectMoveRandomCam" is provided by Eline Soetens, Gauthier Lafruit, Mehrdad Teratani members of the LISA department, EPB (Ecole Polytechnique de Bruxelles), ULB (Université Libre de Bruxelles), Belgium and Jonghoon Yim, Byeungwoo Jeon members of the Department of Electrical and Computer Engineering, SKKU (Sungkyunkwan University), Korea.</p>
<h1>License:</h1>
<p>CC BY-NC-SA</p>
<h1>Terms of Use:</h1>
<p>Any kind of publication or report using this sequence should refer to the following reference :</p>
<p>Eline Soetens, Jonghoon Yim, Byeungwoo Jeon, Gauthier Lafruit, Mehrdad Teratani, "ComplexObjectMoveRandomCam", 2024.</p>
<p>@misc{soetens_ComplexObjectMoveRandomCam_2024, title = {ComplexObjectMoveRandomCam}}, author = {Soetens, Eline and Yim, Jonghoon and Jeon, Byeungwoo and Lafruit, Gauthier and Teratani, Mehrdad }, month = jan, year = {2024}, doi = {10.5281/zenodo.10571393} }</p>
<h1>Content:</h1>
<p>This sequence was captured using a Raytrix R8 plenoptic camera [1] equipped with a 35mm lens. The sequence was recorded for 10 seconds at 30 fps with the Raytrix software RxLive 5.0 [2]. Each frame has a 3840 x 2160 resolution. The scene contains blocks with a simple texture, a sphere with a complex texture, two toy cars, and a reflective unicorn statue placed on a moving board. The toy cars and the unicorn statue present a lot of specularities, thus both objects have a non-Lambertian texture. The scene was filmed by moving the camera by hand in a random motion.</p>
<p>Please find a detailed description of the content of each file below:</p>
<ul>
<li><code>ComplexObjectMoveRandomCam</code>: Contains the 300 frames of the sequences in PNG format.</li>
<li><code>R8-ComplexObjectMoveRandomCam_Calibration.xml</code>: Contains the calibration parameters of the plenoptic camera given by the Raytrix SDK.</li>
</ul>
<h1>References and links:</h1>
<p>[1] <a href="https://raytrix.de/products/">https://raytrix.de/products/</a></p>
<p>[2] <a href="https://raytrix.de/downloads/">https://raytrix.de/downloads/</a></p><p>This work was supported in part by the FER 2021 project (1060H000066-FAISAN), Belgium; in part by the Emile DEFAY 2021 project (4R00H000236), Belgium; and in part by the FER 2023 project (1060H000075), Belgium. This work was supported in part by Basic Science Research Program (RS-2023-00208453) through the National Research Foundation of Korea (NRF) and by the ICT Creative Consilience Program (IITP-2023-2020-0-01821) supervised by the IITP(Institute for Information & communications Technology Planning & Evaluation), both funded by the Ministry of Science and ICT, Korea. </p>
ComplexObjectMoveLinear Cam
No full text<h1>ComplexObjectMoveLinearCam:</h1>
<p>This plenoptic sequence dataset "ComplexObjectMoveLinearCam" is provided by Eline Soetens, Gauthier Lafruit, Mehrdad Teratani members of the LISA department, EPB (Ecole Polytechnique de Bruxelles), ULB (Université Libre de Bruxelles), Belgium and Jonghoon Yim, Byeungwoo Jeon members of the Department of Electrical and Computer Engineering, SKKU (Sungkyunkwan University), Korea.</p>
<h1>License:</h1>
<p>CC BY-NC-SA</p>
<h1>Terms of Use:</h1>
<p>Any kind of publication or report using this sequence should refer to the following reference :</p>
<p>Eline Soetens, Jonghoon Yim, Byeungwoo Jeon, Gauthier Lafruit, Mehrdad Teratani, "ComplexObjectMoveLinearCam", 2024.</p>
<p>@misc{soetens_ComplexObjectMoveLinearCam_2024, title = {ComplexObjectMoveLinearCam}}, author = {Soetens, Eline and Yim, Jonghoon and Jeon, Byeungwoo and Lafruit, Gauthier and Teratani, Mehrdad }, month = jan, year = {2024}, doi = {10.5281/zenodo.10571134} }</p>
<h1>Content:</h1>
<p>This sequence was captured using a Raytrix R8 plenoptic camera [1] equipped with a 35mm lens. The sequence was recorded for 10 seconds at 30 fps with the Raytrix software RxLive 5.0 [2]. Each frame has a 3840 x 2160 resolution. The scene contains blocks with a simple texture, a sphere with a complex texture, two toy cars, and a reflective unicorn statue placed on a moving board. The toy cars and the unicorn statue present a lot of specularities, thus both objects have a non-Lambertian texture. The scene was filmed by moving the camera in a linear motion from left to right.</p>
<p>Please find a detailed description of the content of each file below:</p>
<ul>
<li><code>ComplexObjectMoveLinearCam</code>: Contains the 300 frames of the sequences in PNG format.</li>
<li><code>R8-ComplexObjectMoveLinearCam_Calibration.xml</code>: Contains the calibration parameters of the plenoptic camera given by the Raytrix SDK.</li>
</ul>
<h1>References and links:</h1>
<p>[1] <a href="https://raytrix.de/products/">https://raytrix.de/products/</a></p>
<p>[2] <a href="https://raytrix.de/downloads/">https://raytrix.de/downloads/</a></p><p>This work was supported in part by the FER 2021 project (1060H000066-FAISAN), Belgium; in part by the Emile DEFAY 2021 project (4R00H000236), Belgium; and in part by the FER 2023 project (1060H000075), Belgium. This work was supported in part by Basic Science Research Program (RS-2023-00208453) through the National Research Foundation of Korea (NRF) and by the ICT Creative Consilience Program (IITP-2023-2020-0-01821) supervised by the IITP(Institute for Information & communications Technology Planning & Evaluation), both funded by the Ministry of Science and ICT, Korea.</p>
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