Light-at-Night-Induced Circadian Disruption, Cancer and Aging

Anisimov, Vladimir N.; Виноградова, И. А.; Panchenko, Andrey; Popovich, Irina G.; Zabezhinski, Mark A.

doi:10.2174/1874609811205030002

Cited by 81 publications

(48 citation statements)

References 33 publications

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“…We demonstrate that even though that the RSW workers were significantly younger, thinner, and had a lower prevalence rate of preexisting health abnormalities than their coworkers involved in DW works (Table 1) at baseline, they showed increased MSC, and lower presence of decreased MSC (Table 2 and 3, Figure 1) after 5 years. Circadian disruption has been linked with premature aging process [46], high blood pressure [47], obesity [48], abnormal blood lipids and sugar [49,50]. We recommend every risk factor of MetS should be managed among workers; furthermore, with the knowledge subgroups are shown in Figure 1.…”

Section: Metabolic Syndrome Component Count and Shift Work O R I G I mentioning

confidence: 99%

Utilizing the metabolic syndrome component count in workers’ health surveillance: An example of day-time vs. day-night rotating shift workers

Lin¹,

Hsieh²,

Chen³

2015

Int J Occup Med Environ Health

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Objectives: To establish a practical method for assessing the general metabolic health conditions among different employee groups, this study utilized the total count of metabolic syndrome (MetS) elements as a parameter, and performed a retrospective analysis comparing changes of MetS component count (MSC) of 5 years among day-time work (DW) and day-andnight rotating shift work (RSW) employees. Material and Methods: The data of personal histories, physical examinations, blood tests, abdominal sonographic examinations and occupational records were collected from a cohort of workers in an electronics manufacturing company. We first defined the arithmetic mean value of MSC as MSC density (MSCD) for the employee group; then we compared the changes of MSCD over 5 years between DW and RSW workers. Occupational, personal and health records were analyzed for the 1077 workers with an initial mean age of 32.4 years (standard deviation (SD): 6.2 years), including 565 RSW workers (52%). Results: The initial MSCDs were 1.26 and 1.12 (p = 0.06) for DW and RSW workers, respectively; after 5 years, the increments of MSCD for DW and RSW workers were 0.10 and 0.39, respectively (p < 0.01). By performing multivariate logistic regression analyses, and comparing with DW co-workers, final results indicated that the workers exposed to RSW have 1.7-fold increased risk of elevated MSCD (95% confidence interval (CI): 1.28-2.25, p < 0.01); and are 38% less likely (adjusted rate ratio (aRR) 0.62, 95% CI: 0.45-0.86, p < 0.01) to attain decreased MSCD. Conclusions: These observations demonstrate that changes of MSCD are significantly different between DW and RSW workers, and are increasingly associated with RSW exposure. In conclusion, MSCD can represent the general metabolic health conditions of a given employee group; MSC, MSCD and their transitional changes can be applied as simple and standardized tools for monitoring metabolic health risk profiles when managing employee health, at both the individual and company levels.

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Section: Metabolic Syndrome Component Count and Shift Work O R I G I mentioning

confidence: 99%

Utilizing the metabolic syndrome component count in workers’ health surveillance: An example of day-time vs. day-night rotating shift workers

Lin¹,

Hsieh²,

Chen³

2015

Int J Occup Med Environ Health

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“…Altered light-dark cycles or shifts in photoperiod have been associated with disrupted circadian profiles of plasma hormones, altered estrous cycles, altered diurnal locomotor activity, decreased maternal, fetal, and pup body weights, etc. [85][86][87][88][89]. These issues also are complex via the dermal route, where dermal wrapping can be difficult during breeding, gestation, and lactation, and would require an enormous amount of time to expose the F1 offspring.…”

Section: Eogrtsmentioning

confidence: 99%

A Developmental and Reproductive Toxicology Program for Chemical Registration

Johnson

Hannas

Marty

et al. 2016

Methods in Pharmacology and Toxicology

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The goal of the chapter is to outline the process of testing molecules for potential developmental and reproductive toxicity (DART). Here, the entire process of DART testing is discussed, from the regulatory use of DART data to the conduct and interpretation of the various DART study designs. Although nonanimal DART testing strategies are envisioned by the new science of "21st Century Toxicity Testing", these high-content, high-throughput testing paradigms are not sufficiently mature from a scientific perspective to be acceptable on their own by regulatory agencies for chemical registration. Thus, these testing paradigms are not included in this chapter. While the scope of the chapter is broad, it is beyond the range of this chapter to describe all possible scenarios encountered in DART testing. For additional information, the reader is referred to other recent publications on this topic. The chapter is organized in a stepwise manner into three main topics: (1) Use of DART studies for chemical registration; (2) General considerations for all DART study designs; and (3) Descriptions of all DART study designs from a practical perspective, beginning with an initial range-finding study and ending with the complex Extended One-Generation Reproductive Toxicity Study (EOGRTS).

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“…The clocks may be reset according to the phase-response curve, while melatonin synthesis and secretion are precipitously turned off by LAN [86,87,88]. These changes are of particular importance with regard to shiftwork, which has been associated with numerous diseases and disorders [35,89,90,91,92,93,94]. This health risk has been discussed many times and a full record would exceed the scope of this article.…”

Section: Light At Night—epigenetic Changes During Chronodisruptionmentioning

confidence: 99%

“…In animal models, melatonin did not only reverse adverse effects by LAN including tumorigenesis [93], but also reduced the growth rates of breast tumors and changed the global DNA methylation pattern to a presumably favorable state [97]. However, various modes of action have been discussed to contribute to the oncostatic and other anti-tumor effects of melatonin.…”

Section: Melatonin Cancer and Epigeneticsmentioning

confidence: 99%

Melatonin, Noncoding RNAs, Messenger RNA Stability and Epigenetics—Evidence, Hints, Gaps and Perspectives

Hardeland

2014

IJMS

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Melatonin is a highly pleiotropic regulator molecule, which influences numerous functions in almost every organ and, thus, up- or down-regulates many genes, frequently in a circadian manner. Our understanding of the mechanisms controlling gene expression is actually now expanding to a previously unforeseen extent. In addition to classic actions of transcription factors, gene expression is induced, suppressed or modulated by a number of RNAs and proteins, such as miRNAs, lncRNAs, piRNAs, antisense transcripts, deadenylases, DNA methyltransferases, histone methylation complexes, histone demethylases, histone acetyltransferases and histone deacetylases. Direct or indirect evidence for involvement of melatonin in this network of players has originated in different fields, including studies on central and peripheral circadian oscillators, shift work, cancer, inflammation, oxidative stress, aging, energy expenditure/obesity, diabetes type 2, neuropsychiatric disorders, and neurogenesis. Some of the novel modulators have also been shown to participate in the control of melatonin biosynthesis and melatonin receptor expression. Future work will need to augment the body of evidence on direct epigenetic actions of melatonin and to systematically investigate its role within the network of oscillating epigenetic factors. Moreover, it will be necessary to discriminate between effects observed under conditions of well-operating and deregulated circadian clocks, and to explore the possibilities of correcting epigenetic malprogramming by melatonin.

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Light-at-Night-Induced Circadian Disruption, Cancer and Aging

Cited by 81 publications

References 33 publications

Utilizing the metabolic syndrome component count in workers’ health surveillance: An example of day-time vs. day-night rotating shift workers

Utilizing the metabolic syndrome component count in workers’ health surveillance: An example of day-time vs. day-night rotating shift workers

A Developmental and Reproductive Toxicology Program for Chemical Registration

Melatonin, Noncoding RNAs, Messenger RNA Stability and Epigenetics—Evidence, Hints, Gaps and Perspectives

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