Caspase-14—From Biomolecular Basics to Clinical Approach. A Review of Available Data

Markiewicz, Agnieszka; Sigorski, Dawid; Markiewicz, Mateusz; Owczarczyk‐Saczonek, Agnieszka; Placek, Waldemar

doi:10.3390/ijms22115575

Cited by 25 publications

(18 citation statements)

References 68 publications

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“…It is worth noting that several antigens are unique in the ACPA-negative model, such as SAA2-SAA4 readthrough, platelet glycoprotein V, Fc-gamma receptor IIIb, complement C1r subcomponent-like protein, procollagen C-endopeptidase enhancer, and caspase 14 ( Figure 6C ). These proteins participate in various biological processes including acute phase response, cornification, complement activation, innate immune response, platelet activation, and collagen binding ( 35 , 36 ). There is limited research investigating their function and association with autoimmune or inflammatory diseases ( 37 ).…”

Section: Discussionmentioning

confidence: 99%

Serum Antigenome Profiling Reveals Diagnostic Models for Rheumatoid Arthritis

Han

Hou²,

Zheng³

et al. 2022

Front. Immunol.

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ObjectiveThe study aimed to investigate the serum antigenomic profiling in rheumatoid arthritis (RA) and determine potential diagnostic biomarkers using label-free proteomic technology implemented with machine-learning algorithm.MethodSerum antigens were captured from a cohort consisting of 60 RA patients (45 ACPA-positive RA patients and 15 ACPA-negative RA patients), together with sex- and age-matched 30 osteoarthritis (OA) patients and 30 healthy controls. Liquid chromatography-tandem mass spectrometry (LC-MS/MS) was then performed. The significantly upregulated and downregulated proteins with fold change > 1.5 (p < 0.05) were selected. Based on these differentially expressed proteins (DEPs), a machine learning model was trained and validated to classify RA, ACPA-positive RA, and ACPA-negative RA.ResultsWe identified 62, 71, and 49 DEPs in RA, ACPA-positive RA, and ACPA-negative RA, respectively, as compared to OA and healthy controls. Typical pathway enrichment and protein–protein interaction networks were shown among these DEPs. Three panels were constructed to classify RA, ACPA-positive RA, and ACPA-negative RA using random forest models algorithm based on the molecular signature of DEPs, whose area under curve (AUC) were calculated as 0.9949 (95% CI = 0.9792–1), 0.9913 (95% CI = 0.9653–1), and 1.0 (95% CI = 1–1).ConclusionThis study illustrated the serum auto-antigen profiling of RA. Among them, three panels of antigens were identified as diagnostic biomarkers to classify RA, ACPA-positive, and ACPA-negative RA patients.

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Section: Discussionmentioning

confidence: 99%

Serum Antigenome Profiling Reveals Diagnostic Models for Rheumatoid Arthritis

Han

Hou²,

Zheng³

et al. 2022

Front. Immunol.

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“…An enhancing activity for caspase-14 expression has been reported for other cosmetic ingredients and natural phytochemicals [ 92 , 93 , 94 ]. The physiocosmetic implications of caspase-14 upregulation in maintaining skin homeostasis remain uncertain; however, targeting caspase-14 might be a promising strategy for discovering new beneficial ingredients for healthy skin [ 95 , 96 ].…”

Section: Enhanced Expression Of Caspase-14 By Gffmentioning

confidence: 99%

Galactomyces Ferment Filtrate Potentiates an Anti-Inflammaging System in Keratinocytes

Yan¹,

Tsuji

Hashimoto-Hachiya

et al. 2022

JCM

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Skincare products play a crucial role in preventing the dry skin induced by various causes. Certain ingredients can help to improve the efficacy of skincare products. Galactomyces ferment filtrate (GFF) is such a functional ingredient. Its use originated from the empirical observation that the hands of sake brewers who deal with yeast fermentation retain a beautiful and youthful appearance. Consequently, skincare products based on GFF are widely used throughout the world. Recent studies have demonstrated that GFF activates an aryl hydrocarbon receptor (AHR) and upregulates the expression of filaggrin, a pivotal endogenous source of natural moisturizing factors, in epidermal keratinocytes. It also activates nuclear factor erythroid-2-related factor 2 (NRF2), the antioxidative master transcription factor, and exhibits potent antioxidative activity against oxidative stress induced by ultraviolet irradiation and proinflammatory cytokines, which also accelerate inflammaging. GFF-mediated NRF2 activation downregulates the expression of CDKN2A, which is known to be overexpressed in senescent keratinocytes. Moreover, GFF enhances epidermal terminal differentiation by upregulating the expression of caspase-14, claudin-1, and claudin-4. It also promotes the synthesis of the antiinflammatory cytokine IL-37 and downregulates the expression of proallergic cytokine IL-33 in keratinocytes. In addition, GFF downregulates the expression of the CXCL14 and IL6R genes, which are involved in inflammaging. These beneficial properties might underpin the potent barrier-protecting and anti-inflammaging effects of GFF-containing skin formulae.

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“…Consequently, it participates in the reorganization of cytoskeletal keratin filaments, which leads to the formation of the cornified envelope, and enables the production of substances called natural moisturizing factors (NMFs) that protect the skin from water loss [ 21 , 22 ]. The role of caspase 14 in skin cancers has not been elucidated and the published data are limited [ 23 ]. The results of studies conducted on other cancer models are also inconclusive.…”

Section: Introductionmentioning

confidence: 99%

mRNA expression of caspase 14 in skin epithelial malignancies

Markiewicz¹,

Sigorski²,

Markiewicz³

et al. 2023

pdia

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Introduction The skin is the largest organ in the human body and it is also a complex organ. Its protective function is properly maintained due to its continuous renewal. Malignancies develop when the balance between proliferation and cell death is dysregulated in skin cells. Skin epithelial cancers are the most common neoplasms in humans. Although caspases are proteins which regulate the cell cycle and cell death, caspase 14 is a unique representative of the caspase family which does not participate in apoptosis. The detailed role of caspase 14 in skin epithelial malignancies has not been elucidated. Material and methods We performed a prospective study aimed at the analysis of the mRNA expression of caspase 14 in groups of skin epithelial malignancies. We enrolled 56 patients (control group n = 21, study group n = 35). The mRNA expression of caspase 14 was lower in the non-lesional skin of patients with basal cell cancer or squamous cell cancer compared to a combined group of non-lesional samples from actinic keratosis patients and the control group. Results The prognostic potential of caspase 14 mRNA is suggested when trying to identify patients predisposed to skin cancer. Moreover, the expression level was lower in combined groups of non-lesional skin obtained from patients with basal cell cancer (BCC)/squamous cell cancer (SCC) in comparison with lesional samples obtained from patients with BCC/SCC. Conclusions We present primary results of a pilot study and define further goals for research continuation.

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Caspase-14—From Biomolecular Basics to Clinical Approach. A Review of Available Data

Cited by 25 publications

References 68 publications

Serum Antigenome Profiling Reveals Diagnostic Models for Rheumatoid Arthritis

Serum Antigenome Profiling Reveals Diagnostic Models for Rheumatoid Arthritis

Galactomyces Ferment Filtrate Potentiates an Anti-Inflammaging System in Keratinocytes

mRNA expression of caspase 14 in skin epithelial malignancies

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