Epidermal turnover time

1994 ◽  
Vol 8 (3) ◽  
pp. 215-217 ◽  
Author(s):  
Hajime Iizuka
1977 ◽  
Vol 96 (5) ◽  
pp. 503-506 ◽  
Author(s):  
PAUL R. BERGSTRESSER ◽  
J. RICHARD TAYLOR

2018 ◽  
Vol 7 ◽  
pp. e1168
Author(s):  
Neda Akhoundi ◽  
Taraneh Faghihi Langroudi ◽  
Kiarash Shafizadeh ◽  
Mohamad Javad Jabbarzadeh ◽  
Sepehr Talebi

Background: Psoriasis is defined as a chronic inflammatory disease involving keratinocytes hyperproliferation of the epidermis with the acceleration in the epidermal turnover time, which is affected by various factors including genetic, immunologic, and environmental factors. There is a high risk for the development of premature cardiovascular diseases among patients with psoriasis as well as one of the life-threatening events is an aortic aneurysm (AA). Case Report: We report a 60-year-old man with the diagnosed psoriatic disease that an enlargement of the abdominal AA was incidentally found by annual check-up. Conclusion: Further large-scale studies are needed to find the prevalence of abdominal AA in psoriasis and the appropriate screening time of that in this disease. [GMJ.2018;7:e1168]


2015 ◽  
Vol 42 (9) ◽  
pp. 874-880 ◽  
Author(s):  
Junqin Li ◽  
Xinhua Li ◽  
Ruixia Hou ◽  
Ruifeng Liu ◽  
Xincheng Zhao ◽  
...  

2015 ◽  
Vol 12 (103) ◽  
pp. 20141071 ◽  
Author(s):  
Hong Zhang ◽  
Wenhong Hou ◽  
Laurence Henrot ◽  
Sylvianne Schnebert ◽  
Marc Dumas ◽  
...  

We present a computational model to study the spatio-temporal dynamics of epidermis homoeostasis under normal and pathological conditions. The model consists of a population kinetics model of the central transition pathway of keratinocyte proliferation, differentiation and loss and an agent-based model that propagates cell movements and generates the stratified epidermis. The model recapitulates observed homoeostatic cell density distribution, the epidermal turnover time and the multilayered tissue structure. We extend the model to study the onset, recurrence and phototherapy-induced remission of psoriasis. The model considers psoriasis as a parallel homoeostasis of normal and psoriatic keratinocytes originated from a shared stem cell (SC) niche environment and predicts two homoeostatic modes of psoriasis: a disease mode and a quiescent mode. Interconversion between the two modes can be controlled by interactions between psoriatic SCs and the immune system and by normal and psoriatic SCs competing for growth niches. The prediction of a quiescent state potentially explains the efficacy of multi-episode UVB irradiation therapy and recurrence of psoriasis plaques, which can further guide designs of therapeutics that specifically target the immune system and/or the keratinocytes.


2010 ◽  
Vol 49 (S 01) ◽  
pp. S53-S58 ◽  
Author(s):  
W. Dörr

SummaryThe curative effectivity of external or internal radiotherapy necessitates exposure of normal tissues with significant radiation doses, and hence must be associated with an accepted rate of side effects. These complications can not a priori be considered as an indication of a too aggressive therapy. Based on the time of first diagnosis, early (acute) and late (chronic) radiation sequelae in normal tissues can be distinguished. Early reactions per definition occur within 90 days after onset of the radiation exposure. They are based on impairment of cell production in turnover tissues, which in face of ongoing cell loss results in hypoplasia and eventually a complete loss of functional cells. The latent time is largely independent of dose and is defined by tissue biology (turnover time). Usually, complete healing of early reactions is observed. Late radiation effects can occur after symptom-free latent times of months to many years, with an inverse dependence of latency on dose. Late normal tissue changes are progressive and usually irreversible. They are based on a complex interaction of damage to various cell populations (organ parenchyma, connective tissue, capillaries), with a contribution from macrophages. Late effects are sensitive for a reduction in dose rate (recovery effects).A number of biologically based strategies for protection of normal tissues or for amelioration of radiation effects was and still is tested in experimental systems, yet, only a small fraction of these approaches has so far been introduced into clinical studies. One advantage of most of the methods is that they may be effective even if the treatment starts way after the end of radiation exposure. For a clinical exploitation, hence, the availability of early indicators for the progression of subclinical damage in the individual patient would be desirable. Moreover, there is need to further investigate the molecular pathogenesis of normal tissue effects in more detail, in order to optimise biology based preventive strategies, as well as to identify the precise mechanisms of already tested approaches (e. g. stem cells).


Genetics ◽  
1999 ◽  
Vol 151 (3) ◽  
pp. 1197-1210 ◽  
Author(s):  
Piter Bijma ◽  
John A Woolliams

Abstract A method to predict long-term genetic contributions of ancestors to future generations is studied in detail for a population with overlapping generations under mass or sib index selection. An existing method provides insight into the mechanisms determining the flow of genes through selected populations, and takes account of selection by modeling the long-term genetic contribution as a linear regression on breeding value. Total genetic contributions of age classes are modeled using a modified gene flow approach and long-term predictions are obtained assuming equilibrium genetic parameters. Generation interval was defined as the time in which genetic contributions sum to unity, which is equal to the turnover time of genes. Accurate predictions of long-term genetic contributions of individual animals, as well as total contributions of age classes were obtained. Due to selection, offspring of young parents had an above-average breeding value. Long-term genetic contributions of youngest age classes were therefore higher than expected from the age class distribution of parents, and generation interval was shorter than the average age of parents at birth of their offspring. Due to an increased selective advantage of offspring of young parents, generation interval decreased with increasing heritability and selection intensity. The method was compared to conventional gene flow and showed more accurate predictions of long-term genetic contributions.


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