Effects of smoking on human telomerase reverse transcriptase expression in the skin

Effect of Physical Activity, Smoking, and Sleep on Telomere Length: A Systematic Review of Observational and Intervention Studies

Aging is a risk factor for several pathologies, restricting one’s health span, and promoting chronic diseases (e.g., cardiovascular and neurodegenerative diseases), as well as cancer. Telomeres are regions of repetitive DNA located at chromosomal ends. Telomere length has been inversely associated with chronological age and has been considered, for a long time, a good biomarker of aging. Several lifestyle factors have been linked with telomere shortening or maintenance. However, the consistency of results is hampered by some methodological issues, including study design, sample size, measurement approaches, and population characteristics, among others. Therefore, we aimed to systematically review the current literature on the effects of three relevant lifestyle factors on telomere length in human adults: physical activity, smoking, and sleep. We conducted a qualitative systematic review of observational and intervention studies using the Preferred Reporting Item for Systematic Reviews and Meta-Analysis (PRISMA) guidelines. The systematic literature search covered articles published in MEDLINE and EMBASE databases (from 2010 to 2020). A total of 1400 studies were identified; 83 were included after quality control. Although fewer sedentary activities, optimal sleep habits, and non- or ex-smoker status have been associated with less telomere shortening, several methodological issues were detected, including the need for more targeted interventions and standardized protocols to better understand how physical activity and sleep can impact telomere length and aging. We discuss the main findings and current limitations to gain more insights into the influence of these lifestyle factors on the healthy aging process.

The Skin Interactome: A Holistic "Genome-Microbiome-Exposome" Approach to Understand and Modulate Skin Health and Aging

Higher demands on skin care cosmetic products for strong performance drive intense research to understand the mechanisms of skin aging and design strategies to improve overall skin health. Today we know that our needs and influencers of skin health and skin aging change throughout our life journey due to both extrinsic factors, such as environmental factors and lifestyle factors, as well as our intrinsic factors. Furthermore, we need to consider our microflora, a collection of micro-organisms such as bacteria, viruses, and fungi, which is a living ecosystem in our gut and on our skin, that can have a major impact on our health. Here, we are viewing a holistic approach to understand the collective effect of the key influencers of skin health and skin aging both reviewing how each of them impact the skin, but more importantly to identify molecular conjunction pathways of these different factors in order to get a better understanding of the integrated “genome-microbiome-exposome” effect. For this purpose and in order to translate molecularly the impact of the key influencers of skin health and skin aging, we built a digital model based on system biology using different bioinformatics tools. This model is considering both the positive and negative impact of our genome (genes, age/gender), exposome: external (sun, pollution, climate) and lifestyle factors (sleep, stress, exercise, nutrition, skin care routine), as well as the role of our skin microbiome, and allowed us in a first application to evaluate the effect of the genome in the synthesis of collagen in the skin and the determination of a suitable target for boosting pro-collagen synthesis. In conclusion, we have, through our digital holistic approach, defined the skin interactome concept, as an advanced tool to better understand the molecular genesis of skin aging and further develop a strategy to balance the influence of the exposome and microbiome to protect, prevent, and delay the appearance of skin aging signs and preserve good skin health condition. In addition, this model will aid in identifying and optimizing skin treatment options based on external triggers, as well as helping to design optimal treatments modulating the intrinsic pathways.

The Effects of Different Burn Dressings on Length of Telomere and Expression of Telomerase in Children With Thermal Burns

BACKGROUND

Burns are a common traumatic injury triggered by local tissue damage and a systemic response. In this study, we evaluated the effects of different burn dressings on telomere kinetics in children with thermal burn injury.

METHODS

Sixty children with thermal burn were included in this prospective study. The burn area of the patients included 20 to 50% total body surface area. Three different dressings (hydrofiber with silver [HFAg], poylactic membrane [PLM], and silver sulfadiazine [SSD]) and control groups were created. Telomere length in nucleated blood cells and telomerase expression in the skin tissue were evaluated in control and burn groups.

RESULTS

In the whole burn groups, telomere length in blood cells increased. The length of telomeres increased the most in the SSD group. The PLM group is the treatment that increases the number of squamous cell counts in the basal layer and telomerase expression in the skin. In HFAg and SSD groups, the expression of telomerase in the skin is decreased. In the HFAg group, the basal layer in the skin was also reduced in squamous cells.

CONCLUSION

In all burn groups, the telomere length of nucleated cells in the blood was higher than in the control group. SSD dressing along with autografting is the treatment method that maximizes telomere length in blood cells. The PLM has the most increased telomerase expression in the skin of burned patients. The PLM application increases the number of cells on both burned and normal skin.