Records |
Author |
Borck, P.C.; Batista, T.M.; Vettorazzi, J.F.; Soares, G.M.; Lubaczeuski, C.; Guan, D.; Boschero, A.C.; Vieira, E.; Lazar, M.A.; Carneiro, E.M. |
Title |
Nighttime light exposure enhances Rev-erbalpha-targeting microRNAs and contributes to hepatic steatosis |
Type  |
Journal Article |
Year |
2018 |
Publication |
Metabolism: Clinical and Experimental |
Abbreviated Journal |
Metabolism |
Volume |
85 |
Issue |
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Pages |
250-258 |
Keywords |
Animals |
Abstract |
OBJECTIVE: The exposure to artificial light at night (ALAN) disrupts the biological rhythms and has been associated with the development of metabolic syndrome. MicroRNAs (miRNAs) display a critical role in fine-tuning the circadian system and energy metabolism. In this study, we aimed to assess whether altered miRNAs expression in the liver underlies metabolic disorders caused by disrupted biological rhythms. RESULTS: We found that C3H/HePas mice exposed to ALAN developed obesity, and hepatic steatosis, which was paralleled by decreased expression of Rev-erbalpha and up-regulation of its lipogenic targets ACL and FAS in liver. Furthermore, the expression of Rev-erbalpha-targeting miRNAs, miR-140-5p, 185-5p, 326-5p and 328-5p were increased in this group. Consistently, overexpression of these miRNAs in primary hepatocytes reduced Rev-erbalpha expression at the mRNA and protein levels. Importantly, overexpression of Rev-erbalpha-targeting miRNAs increased mRNA levels of Acly and Fasn. CONCLUSION: Thus, altered miRNA profile is an important mechanism underlying the disruption of the peripheral clock caused by exposure to ALAN, which could lead to hepatic steatosis. |
Address |
Obesity and Comorbidities Research Center, Institute of Biology, University of Campinas/UNICAMP, Campinas, SP, Brazil; Department of Structural and Functional Biology, Institute of Biology, University of Campinas/UNICAMP, Campinas, SP, Brazil |
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English |
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0026-0495 |
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PMID:29751019 |
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no |
Call Number |
GFZ @ kyba @ |
Serial |
1891 |
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Author |
Jong, M. de; Eertwegh, L. van den; Beskers, R.E.; Vries, P.P. de; Spoelstra, K.; Visser, M.E. |
Title |
Timing of Avian Breeding in an Urbanised World |
Type  |
Journal Article |
Year |
2018 |
Publication |
Ardea |
Abbreviated Journal |
Ardea |
Volume |
106 |
Issue |
1 |
Pages |
31-38 |
Keywords |
Animals |
Abstract |
A large part of the world is urbanised, and the process of urbanisation is ongoing. This causes dramatic alterations of species' habitat such as increased night light, sound levels and temperature, along with direct disturbance by human activity. We used eight years of citizen science data from ten common bird species breeding in nest boxes throughout The Netherlands to study the relationship between urbanisation and a key life history trait, timing of breeding. We used nightly light levels in the form of sky brightness and light emission as a proxy for urbanisation as the dramatic change of the night-time environment is a prominent effect of urbanisation. We expected birds to lay earlier in areas with more light at night, i.e. in more urbanised areas. We found, however, no relationship between light levels and seasonal timing in the ten species studied. A limitation of our study is that there was only limited data for the areas that were urbanised most (e.g. inside cities). Most nest box study areas are located in areas with a limited level of urbanisation, and hence with relatively low light levels of light at night. The lack of data on breeding birds in more urbanised environments, which is a rapidly expanding habitat for an increasing number of species worldwide, should be the focus of attention and citizen science would be highly suitable to also provide data for such areas. |
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ISSN |
0373-2266 |
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GFZ @ kyba @ |
Serial |
1893 |
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Author |
Cruz, L.M.; Shillinger, G.L.; Robinson, N.J.; Tomillo, P.S.; Paladino, F.V. |
Title |
Effect of light intensity and wavelength on the in-water orientation of olive ridley turtle hatchlings |
Type  |
Journal Article |
Year |
2018 |
Publication |
Journal of Experimental Marine Biology and Ecology |
Abbreviated Journal |
Journal of Experimental Marine Biology and Ecology |
Volume |
505 |
Issue |
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Pages |
52-56 |
Keywords |
Animals |
Abstract |
Light pollution, associated with coastal development, poses a growing threat to sea turtles. Hatchlings are particularly affected during their crawl to the ocean since they exhibit phototaxis and may move towards or be disoriented by artificial lights. Although much is known about how hatchlings respond to artificial light while crawling to the ocean, far less is known about their response after reaching the water. Here, we investigate how hatchling olive ridley turtles (Lepidochelys olivacea) held in artificial pools responded to light of different wavelengths (red, 720 nm; yellow, 660 nm and green, 520 nm) and intensities (0.1–3.3 lx, mean 0.87 lx, SD = 0.85, 10.3–45.9 lx, mean 15.75 lx,SD = 7.12; 47.5–84.2 lx; mean 52.02 lx, SD = 9.11; 91.3–140.8 lx, mean 105 lx, SD = 13.24; 150.1–623 lx, mean 172.18 lx, SD = 73.42). When no light or red light below 39 lx was present, hatchlings oriented at a mean angle of 180° from true north and did not orient towards any discernable feature. However, hatchlings swam towards the light at intensities of red light above 39 lx, yellow light above 10 lx and green light above 5 lx. Our findings indicate that sea turtles will swim towards artificial lights even after reaching the water. Thus, we recommend light mitigation efforts should extend beyond nesting beaches and into the associated oceanic habitats. |
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0022-0981 |
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no |
Call Number |
GFZ @ kyba @ |
Serial |
1894 |
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Author |
Gaydecki, P. |
Title |
Automated moth flight analysis in the vicinity of artificial light |
Type  |
Journal Article |
Year |
2018 |
Publication |
Bulletin of Entomological Research |
Abbreviated Journal |
Bull Entomol Res |
Volume |
109 |
Issue |
1 |
Pages |
127-140 |
Keywords |
Instrumentation; Animals |
Abstract |
Instrumentation and software for the automated analysis of insect flight trajectories is described, intended for quantifying the behavioural dynamics of moths in the vicinity of artificial light. For its time, this moth imaging system was relatively advanced and revealed hitherto undocumented insights into moth flight behaviour. The illumination source comprised a 125 W mercury vapour light, operating in the visible and near ultraviolet wavelengths, mounted on top of a mobile telescopic mast at heights of 5 and 7.1 m, depending upon the experiment. Moths were imaged in early September, at night and in field conditions, using a ground level video camera with associated optics including a heated steering mirror, wide angle lens and an electronic image intensifier. Moth flight coordinates were recorded at a rate of 50 images per second (fields) and transferred to a computer using a light pen (the only non-automated operation in the processing sequence). Software extracted ground speed vectors and, by instantaneous subtraction of wind speed data supplied by fast-response anemometers, the airspeed vectors. Accumulated density profiles of the track data revealed that moths spend most of their time at a radius of between 40 and 50 cm from the source, and rarely fly directly above it, from close range. Furthermore, the proportion of insects caught by the trap as a proportion of the number influenced by the light (and within the field of view of the camera) was very low; of 1600 individual tracks recorded over five nights, a total of only 12 were caught. Although trap efficiency is strongly dependent on trap height, time of night, season, moonlight and weather, the data analysis confirmed that moths do not exhibit straightforward positive phototaxis. In general, trajectory patterns become more complex with reduced distance from the illumination, with higher recorded values of speeds and angular velocities. However, these characteristics are further qualified by the direction of travel of the insect; the highest accelerations tended to occur when the insect was at close range, but moving away from the source. Rather than manifesting a simple positive phototaxis, the trajectories were suggestive of disorientation. Based on the data and the complex behavioural response, mathematical models were developed that described ideal density distribution in calm air and light wind speed conditions. The models did not offer a physiological hypothesis regarding the behavioural changes, but rather were tools for quantification and prediction. Since the time that the system was developed, instrumentation, computers and software have advanced considerably, allowing much more to be achieved at a small fraction of the original cost. Nevertheless, the analytical tools remain useful for automated trajectory analysis of airborne insects. |
Address |
School of Electrical and Electronic Engineering, University of Manchester,Manchester M13 9PL,UK |
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English |
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ISSN |
0007-4853 |
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Notes |
PMID:29745349 |
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no |
Call Number |
GFZ @ kyba @ |
Serial |
1895 |
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Author |
Nelson, R.J.; Chbeir, S. |
Title |
Dark matters: effects of light at night on metabolism |
Type  |
Journal Article |
Year |
2018 |
Publication |
The Proceedings of the Nutrition Society |
Abbreviated Journal |
Proc Nutr Soc |
Volume |
77 |
Issue |
3 |
Pages |
223-229 |
Keywords |
Human Health |
Abstract |
Life on earth has evolved during the past several billion years under relatively bright days and dark night conditions. The wide-spread adoption of electric lights during the past century exposed animals, both human and non-human, to significant light at night for the first time in their evolutionary history. Endogenous circadian clocks depend on light to entrain to the external daily environment and seasonal rhythms depend on clear nightly melatonin signals to assess time of year. Thus, light at night can derange temporal adaptations. Indeed, disruption of naturally evolved light-dark cycles results in several physiological and behavioural changes with potentially serious implications for physiology, behaviour and mood. In this review, data from night-shift workers on their elevated risk for metabolic disorders, as well as data from animal studies will be discussed. Night-shift workers are predisposed to obesity and dysregulated metabolism that may result from disrupted circadian rhythms. Although studies in human subjects are correlative, animal studies have revealed several mechanisms through which light at night may exert its effects on metabolism by disrupting circadian rhythms that are associated with inflammation, both in the brain and in the periphery. Disruption of the typical timing of food intake is a key effect of light at night and subsequent metabolic dysregulation. Strategies to avoid the effects of light at night on body mass dysregulation should be pursued. |
Address |
Department of Neuroscience,The Ohio State University,Columbus, OH 43210,USA |
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English |
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0029-6651 |
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Notes |
PMID:29747703 |
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no |
Call Number |
GFZ @ kyba @ |
Serial |
1896 |
Permanent link to this record |