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Review

Telomere Length as a Biomarker of Biological Aging in Shift Workers

1
Occupational Medicine, Department of Clinical and Experimental Medicine, University of Catania, 95123 Catania, Italy
2
Anatomy and Histology, Department of Biomedical and Biotechnological Sciences, University of Catania, 95123 Catania, Italy
*
Author to whom correspondence should be addressed.
Appl. Sci. 2020, 10(8), 2764; https://doi.org/10.3390/app10082764
Submission received: 27 January 2020 / Revised: 31 March 2020 / Accepted: 13 April 2020 / Published: 16 April 2020
(This article belongs to the Special Issue Biomarkers and Human Biomonitoring in Occupational Medicine)

Abstract

:
Shift work (SW) comprises a work schedule that involves recurring times of nonstandard work hours balanced to a fixed daily work plan with regular day work times and has been evaluated as “probably carcinogenic to humans” (Group 2A) by IARC. SW may result in increased age acceleration. This systematic review aims to elucidate the usefulness of telomere length as a biomarker of biological aging in shift workers. All studies analyzed underline a shortening of telomere length in SW, and aging in shift workers and duration of work. Methodologies to measure biological aging are possible to advance efforts to clarify the basic biology of aging and provide clinicians an instrument to communicate complex health advice to workers. Telomere length measures can also give an instrument for precision medicine, useful for occupational physicians in age-related screening conditions.

1. Introduction

Shift work (SW) comprises a work schedule that involves recurring times of nonstandard work hours balanced to a fixed daily work plan with regular day work times [1,2]. SW can include early morning, afternoon, evening, or night shifts and may be scheduled to fixed or rotational (i.e., rotating among mornings, afternoons, and nights) timetables [2].
In Europe, it has been estimated that 17% of workers [3] are implicated in SW, and the number is always increasing, due to new job demands [4].
In 2007, the International Agency for Research on Cancer (IARC) classified shift work (SW) as “probably carcinogenic to humans” (Group 2A) and more recently, in 2019, IARC classified Night Shift Work (NSW) as “probably carcinogenic to humans” (Group 2A) by [5] for breast, prostate, and colon, founded on limited evidence of cancer in humans, sufficient evidence of cancer in experimental animals, and strong mechanistic evidence in experimental animals [5].
SW, mainly the category linking working at night, is correlated with circadian rhythm disruption that determines trouble falling asleep, shortened sleep, and daytime fatigue [2,6,7]. Moreover, several investigations have highlighted that SW [8,9] and misalignment of sleep [10] may affect cognitive functions. SW may modify lifestyle features, which could be a factor in the pathway between SW and cognitive performances [1,11]. Recently, it was demonstrated that SW might have effects on biological aging [12].
Recently, many researchers have focused their attention on the genes of the circadian clock, a sequence of genes implicated on preserving the inside organization of numerous oscillators inside and among organs systems [13]. The Circadian Locomotor Output Cycles Kaput (CLOCK) gene is wildly investigated for this purpose: it codifies for the CLOCK protein, a favorable regulatory hand of the circadian system [13]. Variations of the CLOCK gene are usually given by SW and sleep deprivation or by the genetic distinction of the CLOCK gene [14]. This modification has been correlated with numerous physiological and pathological issues [14].
Notably, disparities of the CLOCK gene have been correlated with the initiation of obesity, type 2 diabetes, sleep and mood diseases, and cancer [15,16,17]. Concerning aging, a low number of investigations have studied the potential role of the CLOCK gene on longevity or aging [18,19].
Aging is a physiological progression that causes significant alterations in biological variables and organ functions. Some investigations have underlined a function of the CLOCK gene on several features of the life span development, recommending a probable link among this gene and aging [20,21,22]. The protein encodes a transcription agent of the basic helix–loop–helix (bHLH) family and includes DNA required for the activity of histone acetyltransferase. The ARNTL (BMAL1), an encoded protein structure, attaches E-box enhancer elements upstream of Period (PER1, PER2, PER3) and Cryptochrome (CRY1, CRY2) genes, and starts transcription of those genes. PER and CRY proteins heterodimerize and downstream theirs possess transcription by cooperating in a feedback loop with CLOCK/ARNTL complexes [20,21,22,23].
Some researchers support that SW may affect in aging acceleration, as it has been correlated with a higher risk of longevity diseases [22]. History of SW was correlated with age acceleration in epigenetic CLOCK [23,24]. More recently, White et al. [25] suggest that SW may initiate a range of modifications in DNA methylation, as well as modifications at specific CpG sites and epigenetic age [25] and the latter is associated with age acceleration [23,24,25,26,27,28].
Over the years, it has been tried to find biomarkers to evaluate biological aging, such as oxidative damage, mitochondrial oxygen dissipation, neuroendocrine secretion levels, cyclin-dependent kinase inhibitor expression, and telomere length [23,27,29,30,31].
In detail, telomeres are the non-coding terminal areas of the chromosomes, which comprise of extremely recurring sequences. Their length is conditioned by some physiologic, lifestyle, and environmental factors, as well as aging, smoking habit, psychological stress, overweight/obesity, and contact with xenobiotics [32,33,34,35,36,37,38,39]. Decreased telomere length has been as well correlated with SW [40,41,42]. Furthermore, telomere length at the time seems to be the most promising to assess the biological age in shift workers.
Telomeres are nucleotide replicates (TTAGGG) n with connected proteins at the conclusions of human chromosomes. Telomeres play a decisive role in preserving the reliability and solidity of the genome and as well contribute to the development of cellular DNA injury and repair [40]. Inside proliferating cells, telomere length is active and undergoes shortening at every cycle of cell separation [39]. Telomere length assessed in surrogate tissues, for example, buccal cells, peripheral blood lymphocytes, mononuclear cells, and white blood cells, has been helpful as one of the appropriate susceptibility biomarkers for epigenetic clock and aging [27]. The circadian rhythm of telomerase activity has some significant clinical impacts in shift workers. Telomerase activity fluctuates with the circadian rhythm and is below the control of CLOCK genes [40]. Telomerase is accountable for maintaining the length of telomeres, and disruption in the rhythmic telomerase action gives shortened telomere length. Telomere shortening is associated with SW [40].
DNA damage produced by oxidative stress is a further process implicated in increased telomere shortening [43] and stimulates the relationship among telomere length and aging. Telomeres, as a starter of DNA damage reactions [44], play a preeminent role in discriminating unprocessed DNA terminations from double-strand break ends that provoke DNA damage checkpoints and consequent repair [45]. As a result of the high quantity of guanines, telomeres are mainly sensitive to the growth of reactive oxygen species (ROS)-induced 8-oxo-7,8-dihydrodeoxyguanosine (8-oxodG) DNA-strand interruptions [46,47,48]. Oxidative stress can generate an elevated level of 8-oxodG development in the telomere sequences than in further non-telomere sequences [49,50].
Moreover, the immediate outcome of oxidative damage on telomeric DNA, it has been suggested that reduced DNA repair capacity may endorse telomere erosion. Increased single-strand breaks formed by oxidative stress have been acquired to be under powerfully repaired at telomeres than in the end of the genome [51,52].
This systematic review aims to elucidate the usefulness of telomere length as a biomarker of biological aging in shift workers.

2. Materials and Methods

This systematic review was done in accordance with the PRISMA statement [53].

2.1. Literature Search

The databases used were: SCOPUS, PubMed, Embase, and Web of Sciences. The aim was identifying the newer research available until 30 November 2019, for examining the usefulness of telomere length in SW framework.
The entry terms were used for investigation were: “Shiftwork” AND “telomere length”.
A search of the papers that was appropriate for inclusion in this systematic review was as well done, and the research articles of implication therein were collected and reviewed.

2.2. Inclusion and Exclusion Criteria

The inclusion criterion was applied: studies that assessed the telomere length in relationship with SW exposure. The exclusion criteria adopted were: (1) animal studies, (2) scientific articles that were not published in the English language, and (3) review or conference abstracts or letters to the editor.
For duplicate studies, only the article with further detailed data was included.

2.3. Quality Assessment and Data Extraction

Two reviewers (CL and VR) studied the manuscript independently. The title, abstract, and full text of each potentially pertinent manuscript was reviewed. Any gap on the eligibility of the manuscript was determined throughout the verbal comparison. The following data were pointed out from all qualified papers: authors, year of publication, type of workers, study design and setting, n. of the workers studied, age of workers studied, the nationality of subjects, intervention/outcome, biological sample analyzed, analysis method, results.

3. Results

3.1. Characteristics of Eligible Studies

After a free search for research papers by reviewers, a totality of 13 documents was recorded. Seven were ruled out after subsequent review of title and abstract, and six studies were disqualified after review of the manuscript. Finally, seven studies satisfied the inclusion criteria and were included in the systematic review [54,55,56,57,58,59,60]. A flow-chart depicting the choice of studies is revealed in Figure 1.
Three studies were carried out in Italy, and one in each of these countries: U.S.A., Taiwan, Norway, and Germany. A summary of the details of the included research papers is reported in Table 1.

3.2. Results of Eligible Studies

All eligible studies examined the correlation between SW and telomere length correlated with other outcomes (sleep duration, inflammatory response, breast cancer risk, psychosocial in workplace, occupational well-being, work capacity, oxidative damage). All studies were carried out in healthcare workers (mostly in nurses).
Liang and colleagues [54] found that sleep period was positively correlated with telomere length between nurses less than 50 years old, and SW is a risk factor to have shorter telomere lengths.
In detail, Liang and colleagues [54] in 4117 female workers from the “Nurses’ Health Study” underlines a significant positive correlation between sleep period and telomere length was underlined between women under the age of 50 (p = 0.004), but not among those over 50 (p = 0.33). Besides, they highlighted that women with a more extended chronicle of rotating night shifts were inclined to have shorter telomere lengths.
An in-depth study conducted on cell culture, mice, and humans highlight that telomerase activity shows endogenous circadian rhythmicity in humans and mice, and CLOCK deficiency causes a loss of telomerase activity [55]. Moreover, workers with standard work have circadian oscillation of telomerase activity; instead, shift workers lose the circadian rhythms of telomerase activity [55].
The investigation carried out by Pavanello et al. [56] suggests a probable role of Long Pentraxin 3, an acute-phase protein, an inflammatory process due to SW. Furthermore, SW is correlated with short telomere length and with increased systemic inflammation (coefficient = 0.15; p = 0.033), so those shift workers are more susceptible to premature aging [56].
In a nested case-control study carried out in Norwegian nurses, telomere shortening is correlated with the interval and strength of night work and may be a co-factor for breast cancer risk between female shift workers [57]. Telomere length was assessed from 563 breast cancer of shift workers and 619 controls. Erdem et al. [57] demonstrate that telomere length is affected by intensive SW, as work with six successive nights for more than 5 years was correlated with decreased telomere lengths (−3.18, 95% CI: −6.46 to −0.58, p = 0.016). Telomere shortening is also correlated with a rise in breast cancer risk in workers with long periods of successive night shifts. Therefore, workers among longer telomere lengths had a lesser risk for breast cancer if they had worked more than four (OR: 0.37, 95% CI: 0.16−0.79, p = 0.014) or five (OR: 0.31, 95% CI: 0.10−0.83, p = 0.029) consecutive night shifts for 5 years or more.
Chmelar and colleagues [58] demonstrated that a favorable workplace and work-related health might control the correlation among age and telomere length. Moreover, the authors indicated the potential application of telomere length as a biological measure of age [58].
In other research, Pavanello and colleagues [59] discovered that SW promotes overbalanced oxidative stress reaction that might induce premature aging; the results show that lung function was negatively associated with higher levels of urinary 8-oxoGua (p = 0.005) and shorter telomere length (p = 0.049).
An investigation carried out by Carugno et al. [60] underlines a correlation between extended exposure to SW and molecular modifications that might be implicated in the process, for example, cellular aging. They found an increasing between telomere length and several years in SW in workers in SW < 12 years (0.06 (0.03; 0.09), p < 0.001), while a reduction if work was involved in SW ≥ 12 years (−0.07 −0.10; −0.04), p < 0.001), but this does not clarify the average number of nights made by workers.
However, all these studies underlined a shortening of telomere length in correlation with SW and with aging in shift workers.

4. Discussion

In this review of the literature, despite the few studies, it has shown that the shortening of telomeres is related to age and the intensity of shift work.
In detail, seven studies were included in this systematic review. All studies were carried out among healthcare workers, most nurses. Overall, SW was positively correlated with telomere length. Shift workers with greater intensity of rotating night shifts tended to have short telomere length [54,55,56,57,58,59,60]. Results seem to be a “curve” of erosion; at the beginning of the work, the telomeres are shortening the first “peak”, the second after many years of work (in mature age). This could be due to the influence of circadian rhythms on telomerase activity [55]; inflammation activity has been proven by Pavanello et al. in two investigations [56,59]. Another evidence was done by Samulin Erdem and colleagues [57] that observed the telomere shortening correlated with the duration and intensity of SW and may be a contributing factor for breast cancer risk among the female workforce.
Significant aspects of useful circadian rhythms comprise: sustaining at an adequate oscillation amplitude all over the daily cycle; constituting a period that is appropriately aligned with the light/dark circumstance and can be entrained by light; and preserving in a close to 24 h time to reflect the Earth day [13,61]. Aging impedes amplitude in circadian gene expressions [62,63], determining the impairment of melatonin level, rearrangement of sleep–wake cycles, lowered locomotors activity [64,65,66,67]. As well as circadian differences in the expression of genes engaged in cell cycle regulation and genotoxic stress responded, core circadian proteins PERIOD1 and TIMELESS are connected with sections of the cell cycle checkpoint organization [68]. The recognized operations of circadian proteins in metabolism management, regulation of reactive oxygen species homeostasis, connected oxidative stress, and modulation of DNA repair are accountable for the progress of similar phenotypes in animal models with circadian gene mutations [68]. Disruption in the monitoring of circadian rhythms is considered to be associated with the incidence of age-related conditions, and SW provides to the development of premature aging [20,21]. Earlier studies have also found an indication to suggest that SW can influence DNA methylation. Shift workers had lower values of CLOCK gene methylation levels and higher levels of CRY2 when using a genome-wide method [69]. Length of SW has also been correlated with methylation in the glucocorticoid receptor [70]. Several studies have shown that SW affects telomere length [26,27].
To date, the information base on telomere length as a biomarker in occupational setting seems to be growing. Telomere shortening is correlated with SW and long duration of work [54,55,56,57,58,59,60].
It is conceivable that telomere length represents a biomarker of aging at specific phases of life [71]. Two cohort studies investigated around the lifetime are helpful to address this purpose [72,73]. A linked issue is the problem of establishing whether aging-related quantifies if telomere length is a marker of normal aging progression or is an indicator of prodromal aging-related illness [71].
In humans, the intensity of telomerase (or of its act on telomeres) is limiting, and in humans, telomeres shorten during the lifetime. The measure of shortening is generally balanced to risks of ordinary, often comorbid of age-related diseases in addition to mortality risk [74]. Hereditary telomere conditions [75,76] have been fairly helpful for analyzing the functions and interactions of telomere preservation imperfections in natural human aging and age-related syndromes. Dilapidated telomere preservation has pathophysiological consequences on cells that can recline upriver of, and act together, a quantity of the cellular hallmarks related to age [77]. Since the consequences of compromised telomere preservation in people play out in cell- and tissue-specific approaches, they, therefore, disagree involving various age-related diseases.
Telomere maintenance in humans includes an unexpectedly fragile trade-off connecting reduced risks of numerous aging diseases.
Given the results of this review, it would be appropriate to evaluate that telomere biology is in setting: it shows as an influential synergistic factor that could be supportive in precision medicine for clinical health monitoring.
As a result of the lack of knowledge about the aging action, it can be problematic to discriminate aging from aging-related disease processes and to determine them separately [78,79,80].
The limits of the study are the low quantity of scientific papers. Consequently, about the results of this review, it is hoped that the scientific community will deepen the subject and, indeed, consensus about convalidated criteria for a biomarker of aging is hoped for.

5. Conclusions

Thus, the quantification of biological aging is of increasing interest in occupational medicine. Quantifying biological aging aimed to provide representative measurements of lifetime or healthspan. In opposition to chronological age, which grows at the same time for everyone, biological aging can happen at different rates in different individuals.
Techniques to quantify biological aging are probable to advance efforts to clarify the essential biology of aging and provide clinicians an instrument to communicate complex health information to workers. Telomere length measures can also provide a tool for precision medicine, helping occupational physicians for age-related screening conditions.
Early evidence from studies in SW [54,55,56,57,58,59,60] points out that SW may have due effects on aging and telomere length, in particular with the intensity of SW.
The evidence underlines the hypothesis that telomere length as a biomarker of aging is helpful, but more data are required from investigations that observe telomere length, aging-related functional measures, and collect diseases data. A field for future research is the clarification of which telomere length measure is the most representative and useful marker (e.g., mean, shortest telomere, longitudinal change). Furthermore, in the near future, studies will give valuable information about within-individual telomere length dynamics over aging and lifetime. Such research will also clarify whether the association among telomere length and aging-related measures vary across lifetime.

Funding

This research received no external funding.

Conflicts of Interest

The authors declare no conflict of interest.

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Figure 1. Flow diagram illustrating included and excluded studies in this systematic review.
Figure 1. Flow diagram illustrating included and excluded studies in this systematic review.
Applsci 10 02764 g001
Table 1. Characteristics of suitable studies.
Table 1. Characteristics of suitable studies.
ReferenceType of WorkersStudy Design and Settingn.*AgeCountryIntervention/OutcomeBiological Sample AnalyzedAnalysis MethodResults
Liang et al. 2011 [54]Female nursesNested case-control study from The Nurses’ Health Study2409n.d.U.S.A.Correlations between years of rotating night shifts, self-reported sleep duration, and telomere lengthPeripheral blood leukocytesReal-Time PCRSleep duration was positively correlated with telomere length, in particular in women under 50 years. Workers with longer duration of rotating night shifts seem to have short telomere length, (not statistically significant).
Chen et al., 2014 [55]PhysiciansCase-control study14 physicians working in the emergency department and 13 physicians working in the non-emergency department without night dutiesn.d.TaiwanSW/Telomere lengthPeripheral blood leukocytesQuantitative fluorescence in situ hybridizationCircadian rhythm of telomerase activity and telomerase reverse transcriptase is involved in human leukocytes of emergency department workers.
Pavanello et al., 2017 [56]NursesCross-sectional study84 day workers and 71 night shift workers46.7 ± 5.3ItalyAlteration of inflammation, found by plasmatic long pentraxin 3, and biological aging, measured by leukocyte telomere length, induced by NSWPeripheral blood leukocytesReal-Time PCRPlasmatic long pentraxin 3, is associated with leukocyte telomere length induced by SW.
Samulin Erdem et al., 2017 [57]Female nursesNested case-control study from The Norwegian Nurses Cohort563 shift nurses and 619 non shift nurses54.47 ± 7.70NorwayBreast cancer/SW and Telomere lengthSalivaReal-Time PCRTelomere shortening is correlated with the duration and intensity of SW and may be a risk factor for breast cancer risk among female shift workers.
Chmelar et al., 2017 [58]Geriatric care professionalsCross-sectional study14144.14 ± 12.35GermanyAge, psychosocial work conditions, occupational well-being/telomere lengthPeripheral blood leukocytesReal-Time PCRHealth care supportive psychosocial in workplace have a moderate correlation with influence on the association among SW, aging and telomere length.
Pavanello et al., 2019 [59]NursesCross-sectional study155n.d.ItalySW, perception of work capacity, lung function/oxidative damage and telomere length.Peripheral blood leukocytesReal-Time PCRAssociation between SW and telomere erosion.
Carugno et al., 2019 [60]Female nursesCase-control study4635.9 ± 5.4ItalyCorrelations between night shift work and molecular alterations probably connected to a higher carcinogenic riskPeripheral blood leukocytesReal-Time PCR Reduced telomere length in female nurses in SW < 12 years, while a decrease if employed in SW ≥ 12 years.
* Number of subjects studied. n.d.: not declared.

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Ledda, C.; Loreto, C.; Rapisarda, V. Telomere Length as a Biomarker of Biological Aging in Shift Workers. Appl. Sci. 2020, 10, 2764. https://doi.org/10.3390/app10082764

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Ledda C, Loreto C, Rapisarda V. Telomere Length as a Biomarker of Biological Aging in Shift Workers. Applied Sciences. 2020; 10(8):2764. https://doi.org/10.3390/app10082764

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Ledda, Caterina, Carla Loreto, and Venerando Rapisarda. 2020. "Telomere Length as a Biomarker of Biological Aging in Shift Workers" Applied Sciences 10, no. 8: 2764. https://doi.org/10.3390/app10082764

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