| Records |
| Author |
Kitahashi, T.; Kurokawa, D.; Ogiso, S.; Suzuki, N.; Ando, H. |
| Title |
Light-induced and circadian expressions of melanopsin genes opn4xa and opn4xb in the eyes of juvenile grass puffer Takifugu alboplumbeus |
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Journal Article |
Year  |
2021 |
Publication |
Fish Physiology and Biochemistry |
Abbreviated Journal |
Fish Physiol Biochem |
| Volume |
in press |
Issue |
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Pages |
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| Keywords |
Animals; Biological clock; Circadian rhythm; Diurnal rhythm; Light; Melanopsin; Photoreceptor |
| Abstract |
Animals regulate a variety of aspects of physiology according to environmental light conditions via nonvisual opsins such as melanopsin. In order to study photic regulation of fish physiology, expression changes of the genes for melanopsin (opn4xa and opn4xb) and effects of light on them were examined in juvenile grass puffer Takifugu alboplumbeus using quantitative real-time PCR. In the brain of juvenile fish, no significant diurnal nor circadian changes were observed in opn4x mRNA levels. On the other hand, in the eyes, the mRNA level of opn4xa showed a significant diurnal rhythm with a peak at Zeitgeber time (ZT) 4, while no apparent circadian changes were observed. The mRNA level of opn4xb in the eyes showed a diurnal change similar to that of opn4xa, while it showed a significant circadian change. Furthermore, continuous exposure to light during a subjective night significantly increased the mRNA levels of opn4xa in the eyes at ZT24, suggesting that light induces gene expression of opn4xa in the eyes and that the induction occurs only during the night-day transition period. These results suggest that Opn4xa and Opn4xb play differential roles in the eyes of juvenile grass puffer to mediate the physiological effects of environmental light information. |
| Address |
Sado Marine Biological Station, Sado Island Center for Ecological Sustainability, Niigata University, 87 Tassha, Sado-shi, Niigata, 952-2135, Japan |
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English |
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0920-1742 |
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| Notes |
PMID:33559801 |
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no |
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GFZ @ kyba @ |
Serial |
3353 |
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Zhang, D.; Jones, R.R.; James, P.; Kitahara, C.M.; Xiao, Q. |
| Title |
Associations between artificial light at night and risk for thyroid cancer: A large US cohort study |
Type |
Journal Article |
| Year |
2021 |
Publication |
Cancer |
Abbreviated Journal |
Cancer |
| Volume |
in press |
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| Keywords |
Human Health; circadian disruption; light at night; melatonin; prospective cohort; thyroid cancer |
| Abstract |
BACKGROUND: Light at night (LAN) inhibits nighttime secretion of melatonin and may cause circadian disruption, which may be a risk factor for cancer. Recent studies have linked high LAN exposure with elevated breast cancer risk. Given that breast cancer may share a common hormone-dependent etiology with thyroid cancer and that circadian rhythms play a role in regulating thyroid function, the authors hypothesized that exposure to LAN is positively associated with thyroid cancer incidence. METHODS: This study examined the association between LAN and thyroid cancer incidence in the National Institutes of Health-American Association of Retired Persons Diet and Health Study. LAN exposure was estimated from satellite data and was linked to residential addresses at the baseline. Incident thyroid cancer cases were ascertained via linkage to state cancer registries. Cox regression was used to determine the relationship between LAN and thyroid cancer risk, with adjustments made for sociodemographic, lifestyle, and other environmental factors. RESULTS: Among 464,371 participants, a positive association was found between LAN and thyroid cancer risk. Specifically, in comparison with the lowest quintile of LAN, the highest quintile was associated with a 55% increase in risk (hazard ratio [HR], 1.55; 95% confidence interval [CI], 1.18-2.02). The association was primarily driven by papillary thyroid cancer and was stronger in women (HR, 1.81; 95% CI, 1.26-2.60) than men (HR, 1.29; 95% CI, 0.86-1.94). In women, the association was stronger for localized cancer, whereas in men, the association was stronger for a more advanced stage. Results were consistent across different tumor sizes. CONCLUSIONS: LAN was positively associated with thyroid cancer risk. Future studies are needed to confirm this association and identify underlying biological mechanisms. |
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Department of Epidemiology, Human Genetics, and Environmental Sciences, School of Public Health, The University of Texas Health Science Center at Houston, Houston, Texas |
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English |
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0008-543X |
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PMID:33554351 |
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no |
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GFZ @ kyba @ |
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3354 |
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| Author |
Lin, H.; Luo, S.; Huang, Y. |
| Title |
Poverty estimation at the county level by combining LuoJia1-01 nighttime light data and points of interest |
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Journal Article |
| Year |
2021 |
Publication |
Geocarto International |
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in press |
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Remote Sensing |
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To reduce poverty, it is important to obtain accurate information on poverty conditions in a timely manner. Previous studies indicated that nighttime light products are helpful for poverty estimation. However, there exist no studies that have investigated the potential of LuoJia1-01, a new-generation nighttime light satellite with a much finer resolution (∼130 m), for analyzing poverty. In addition, nighttime light data may not reflect daytime-only socio-economic activities. To address these problems, our study first compared the performance of LuoJia1-01 and NPP-VIIRS products in poverty estimation. Next, we incorporated point of interest (POI) information so that daytime-only socio-economic activities can be considered. Our experiments indicated that LuoJia1-01 performs slightly better than NPP-VIIRS in terms of poverty estimation at county level. More importantly, we revealed that the combination of POIs and nighttime light products can moderately increase the average estimation accuracies. These findings are expected to support poverty monitoring over large regions for long periods, which cannot be fulfilled by traditional household surveys and census. |
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UP @ altintas1 @ |
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3355 |
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| Author |
Latchem, E.; Madliger, C.L.; Abrams, A.E.I.; Cooke, S.J. |
| Title |
Does Artificial Light at Night Alter the Subsequent Diurnal Behavior of a Teleost Fish? |
Type |
Journal Article |
| Year |
2021 |
Publication |
Water, Air, & Soil Pollution |
Abbreviated Journal |
Water Air Soil Pollut |
| Volume |
232 |
Issue |
2 |
Pages |
in press |
| Keywords |
Animals |
| Abstract |
Artificial light at night (ALAN) is one of the fastest growing anthropogenic disturbances to animals across many ecosystems, yet little is known about how ALAN influences fish and aquatic ecosystems. Our current understanding of the effects of ALAN on fish behavior and physiology tend to be based on research conducted during night, with comparatively little research on whether ALAN influences subsequent behavior during diurnal periods. We used wild-caught Bluegill Lepomis macrochirus as a model to assess whether ALAN of differing intensities comparable to what would be experienced in the wild near human-altered landscapes (i.e., 0.5 lux, 4 lux, 9 lux) alters subsequent diurnal behavior relative to controls (i.e., dark, 0 lux). We assessed a number of behavioral traits in a laboratory setting known to relate to performance and fitness in wild teleost fish including exploration, activity levels, space usage, and risk aversion. Exploration behavior, space use, and risk-taking behaviors were similar among treatments. Only locomotor activity differed among treatments with Bluegill in the 0.5 and 9 lux treatments swimming significantly less than controls after being exposed to ALAN overnight. This difference in behavior was found at light intensities commonly found at waterways today and thus may already be affecting fish communities and aquatic ecosystems. |
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0049-6979 |
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no |
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GFZ @ kyba @ |
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3357 |
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Zhang, E.; Feng, H.; Peng, S.; Garg, A. |
| Title |
Measurement of Urban Expansion and Spatial Correlation of Central Yunnan Urban Agglomeration Using Nighttime Light Data |
Type |
Journal Article |
| Year |
2021 |
Publication |
Mathematical Problems in Engineering |
Abbreviated Journal |
Mathematical Problems in Engineering |
| Volume |
2021 |
Issue |
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Pages |
1-15 |
| Keywords |
Remote Sensing |
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1024-123X |
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no |
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GFZ @ kyba @ |
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3358 |
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