Caspase-14-From Biomolecular Basics to Clinical Approach. A Review of Available Data.
Agnieszka MarkiewiczDawid SigorskiMateusz MarkiewiczAgnieszka Owczarczyk-SaczonekWaldemar PlacekPublished in: International journal of molecular sciences (2021)
Caspase-14 is a unique member of the caspase family-a family of molecules participating in apoptosis. However, it does not affect this process but regulates another form of programmed cell death-cornification, which is characteristic of the epidermis. Therefore, it plays a crucial role in the formation of the skin barrier. The cell death cycle has been a subject of interest for researchers for decades, so a lot of research has been done to expand the understanding of caspase-14, its role in cell homeostasis and processes affecting its expression and activation. Conversely, it is also an interesting target for clinical researchers searching for its role in the physiology of healthy individuals and its pathophysiology in particular diseases. A summary was done in 2008 by Denecker et al., concentrating mostly on the biotechnological aspects of the molecule and its physiological role. However, a lot of new data have been reported, and some more practical and clinical research has been conducted since then. The majority of studies tackled the issue of clinical data presenting the role of caspase in the etiopathology of many diseases such as retinal dysfunctions, multiple malignancies, and skin conditions. This review summarizes the available knowledge on the molecular and, more interestingly, the clinical aspects of caspase-14. It also presents how theoretical science may pave the way for medical research. Methods: The authors analyzed publications available on PubMed until 21 March 2021, using the search term "caspase 14".
Keyphrases
- cell death
- induced apoptosis
- cell cycle arrest
- healthcare
- endoplasmic reticulum stress
- electronic health record
- oxidative stress
- stem cells
- big data
- poor prognosis
- mesenchymal stem cells
- single cell
- optical coherence tomography
- cell proliferation
- artificial intelligence
- long non coding rna
- binding protein
- gestational age