1
|
Jariwala N, Ozols M, Eckersley A, Mambwe B, Watson REB, Zeef L, Gilmore A, Debelle L, Bell M, Bradley EJ, Doush Y, Keenan A, Courage C, Leroux R, Peschard O, Mondon P, Ringenbach C, Bernard L, Pitois A, Sherratt MJ. Prediction, screening and characterization of novel bioactive tetrapeptide matrikines for skin rejuvenation. Br J Dermatol 2024; 191:92-106. [PMID: 38375775 DOI: 10.1093/bjd/ljae061] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/26/2023] [Revised: 02/08/2024] [Accepted: 02/10/2024] [Indexed: 02/21/2024]
Abstract
BACKGROUND Extracellular matrices play a critical role in tissue structure and function and aberrant remodelling of these matrices is a hallmark of many age-related diseases. In skin, loss of dermal collagens and disorganization of elastic fibre components are key features of photoageing. Although the application of some small matrix-derived peptides to aged skin has been shown to beneficially affect in vitro cell behaviour and, in vivo, molecular architecture and clinical appearance, the discovery of new peptides has lacked a guiding hypothesis. OBJECTIVES To identify, using protease cleavage site prediction, novel putative matrikines with beneficial activities for skin composition and structure. METHODS Here, we present an in silico (peptide cleavage prediction) to in vitro (proteomic and transcriptomic activity testing in cultured human dermal fibroblasts) to in vivo (short-term patch test and longer-term split-face clinical study) discovery pipeline, which enables the identification and characterization of peptides with differential activities. RESULTS Using this pipeline we showed that cultured fibroblasts were responsive to all applied peptides, but their associated bioactivity was sequence-dependent. Based on bioactivity, toxicity and protein source, we further characterized a combination of two novel peptides, GPKG (glycine-proline-lysine-glycine) and LSVD (leucine-serine-valine-aspartate), that acted in vitro to enhance the transcription of matrix -organization and cell proliferation genes and in vivo (in a short-term patch test) to promote processes associated with epithelial and dermal maintenance and remodelling. Prolonged use of a formulation containing these peptides in a split-face clinical study led to significantly improved measures of crow's feet and firmness in a mixed population. CONCLUSIONS This approach to peptide discovery and testing can identify new synthetic matrikines, providing insights into biological mechanisms of tissue homeostasis and repair and new pathways to clinical intervention.
Collapse
Affiliation(s)
- Nathan Jariwala
- Division of Cell Matrix Biology and Regenerative Medicine, School of Biological Science
| | - Matiss Ozols
- Division of Cell Matrix Biology and Regenerative Medicine, School of Biological Science
- Department of Human Genetics, Wellcome Sanger Institute, Genome Campus, Hinxton, UK
- British Heart Foundation Centre of Research Excellence, University of Cambridge, Cambridge, UK
| | - Alexander Eckersley
- Division of Cell Matrix Biology and Regenerative Medicine, School of Biological Science
- Division of Musculoskeletal and Dermatological Sciences
| | | | - Rachel E B Watson
- Division of Musculoskeletal and Dermatological Sciences
- A*STAR Skin Research Laboratory (A*SRL), Agency for Science, Technology and Research (A*STAR) and National Skin Centre, Skin Research Institute of Singapore, Republic of Singapore
| | | | - Andrew Gilmore
- Wellcome Centre for Cell Matrix Research, Division of Cancer Sciences; Faculty of Biology, Medicine and Health, The University of Manchester, Manchester, UK
| | - Laurent Debelle
- Division of Cell Matrix Biology and Regenerative Medicine, School of Biological Science
- UMR CNRS 7369 MEDyC, Université de Reims Champagne Ardenne, UFR Sciences Exactes et Naturelles, SFR CAP Santé, Moulin de la Housse, Reims, France
| | - Mike Bell
- No7 Beauty Company, Walgreens Boots Alliance, Nottingham, UK
| | | | - Yegor Doush
- No7 Beauty Company, Walgreens Boots Alliance, Nottingham, UK
| | - Amy Keenan
- No7 Beauty Company, Walgreens Boots Alliance, Nottingham, UK
| | - Carole Courage
- No7 Beauty Company, Walgreens Boots Alliance, Nottingham, UK
| | | | | | | | | | | | | | - Michael J Sherratt
- Division of Cell Matrix Biology and Regenerative Medicine, School of Biological Science
| |
Collapse
|
2
|
Zhang J, Lu Y, Zheng S, Ma Z, Wu M, Zhang Y, Cao H. Identification of donkey-hide gelatin and donkey-bone gelatin based on marker peptides. Lebensm Wiss Technol 2023; 182:114881. [DOI: 10.1016/j.lwt.2023.114881] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 07/28/2023]
|
3
|
Matrikines as mediators of tissue remodelling. Adv Drug Deliv Rev 2022; 185:114240. [PMID: 35378216 DOI: 10.1016/j.addr.2022.114240] [Citation(s) in RCA: 24] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/08/2021] [Revised: 02/21/2022] [Accepted: 03/26/2022] [Indexed: 11/21/2022]
Abstract
Extracellular matrix (ECM) proteins confer biomechanical properties, maintain cell phenotype and mediate tissue repair (via release of sequestered cytokines and proteases). In contrast to intracellular proteomes, where proteins are monitored and replaced over short time periods, many ECM proteins function for years (decades in humans) without replacement. The longevity of abundant ECM proteins, such as collagen I and elastin, leaves them vulnerable to damage accumulation and their host organs prone to chronic, age-related diseases. However, ECM protein fragmentation can potentially produce peptide cytokines (matrikines) which may exacerbate and/or ameliorate age- and disease-related ECM remodelling. In this review, we discuss ECM composition, function and degradation and highlight examples of endogenous matrikines. We then critically and comprehensively analyse published studies of matrix-derived peptides used as topical skin treatments, before considering the potential for improvements in the discovery and delivery of novel matrix-derived peptides to skin and internal organs. From this, we conclude that while the translational impact of matrix-derived peptide therapeutics is evident, the mechanisms of action of these peptides are poorly defined. Further, well-designed, multimodal studies are required.
Collapse
|
4
|
Stewart-McGuinness C, Platt CI, Ozols M, Goh B, Griffiths TW, Sherratt MJ. Defining the Protease and Protease Inhibitor (P/PI) Proteomes of Healthy and Diseased Human Skin by Modified Systematic Review. Biomolecules 2022; 12:475. [PMID: 35327667 PMCID: PMC8946613 DOI: 10.3390/biom12030475] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2022] [Revised: 03/09/2022] [Accepted: 03/18/2022] [Indexed: 12/26/2022] Open
Abstract
Proteases and protease inhibitors (P/PIs) are involved in many biological processes in human skin, yet often only specific families or related groups of P/PIs are investigated. Proteomics approaches, such as mass spectrometry, can define proteome signatures (including P/PIs) in tissues; however, they struggle to detect low-abundance proteins. To overcome these issues, we aimed to produce a comprehensive proteome of all P/PIs present in normal and diseased human skin, in vivo, by carrying out a modified systematic review using a list of P/PIs from MEROPS and combining this with key search terms in Web of Science. Resulting articles were manually reviewed against inclusion/exclusion criteria and a dataset constructed. This study identified 111 proteases and 77 protease inhibitors in human skin, comprising the serine, metallo-, cysteine and aspartic acid catalytic families of proteases. P/PIs showing no evidence of catalytic activity or protease inhibition, were designated non-peptidase homologs (NPH), and no reported protease inhibitory activity (NRPIA), respectively. MMP9 and TIMP1 were the most frequently published P/PIs and were reported in normal skin and most skin disease groups. Normal skin and diseased skin showed significant overlap with respect to P/PI profile; however, MMP23 was identified in several skin disease groups, but was absent in normal skin. The catalytic profile of P/PIs in wounds, scars and solar elastosis was distinct from normal skin, suggesting that a different group of P/PIs is responsible for disease progression. In conclusion, this study uses a novel approach to provide a comprehensive inventory of P/PIs in normal and diseased human skin reported in our database. The database may be used to determine either which P/PIs are present in specific diseases or which diseases individual P/PIs may influence.
Collapse
Affiliation(s)
- Callum Stewart-McGuinness
- Division of Cell Matrix Biology & Regenerative Medicine, Faculty of Biology, Medicine and Health, School of Biological Sciences, The University of Manchester, Manchester M13 9PT, UK; (C.S.-M.); (M.O.); (B.G.); (M.J.S.)
| | - Christopher I. Platt
- Division of Cell Matrix Biology & Regenerative Medicine, Faculty of Biology, Medicine and Health, School of Biological Sciences, The University of Manchester, Manchester M13 9PT, UK; (C.S.-M.); (M.O.); (B.G.); (M.J.S.)
| | - Matiss Ozols
- Division of Cell Matrix Biology & Regenerative Medicine, Faculty of Biology, Medicine and Health, School of Biological Sciences, The University of Manchester, Manchester M13 9PT, UK; (C.S.-M.); (M.O.); (B.G.); (M.J.S.)
- Department of Human Genetics, Wellcome Sanger Institute, Genome Campus, Hinxton CB10 1SA, UK
- British Heart Foundation Centre of Research Excellence, University of Cambridge, Cambridge CB2 0QQ, UK
| | - Brian Goh
- Division of Cell Matrix Biology & Regenerative Medicine, Faculty of Biology, Medicine and Health, School of Biological Sciences, The University of Manchester, Manchester M13 9PT, UK; (C.S.-M.); (M.O.); (B.G.); (M.J.S.)
| | - Tamara W. Griffiths
- Centre for Dermatology Research, The University of Manchester & Salford Royal NHS Foundation Trust, Manchester Academic Health Science Centre, Manchester M13 9PL, UK;
| | - Michael J. Sherratt
- Division of Cell Matrix Biology & Regenerative Medicine, Faculty of Biology, Medicine and Health, School of Biological Sciences, The University of Manchester, Manchester M13 9PT, UK; (C.S.-M.); (M.O.); (B.G.); (M.J.S.)
| |
Collapse
|
5
|
Ozols M, Eckersley A, Mellody KT, Mallikarjun V, Warwood S, O'Cualain R, Knight D, Watson REB, Griffiths CEM, Swift J, Sherratt MJ. Peptide location fingerprinting reveals modification-associated biomarker candidates of ageing in human tissue proteomes. Aging Cell 2021; 20:e13355. [PMID: 33830638 PMCID: PMC8135079 DOI: 10.1111/acel.13355] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/08/2020] [Revised: 02/18/2021] [Accepted: 03/15/2021] [Indexed: 12/25/2022] Open
Abstract
Although dysfunctional protein homeostasis (proteostasis) is a key factor in many age-related diseases, the untargeted identification of structurally modified proteins remains challenging. Peptide location fingerprinting is a proteomic analysis technique capable of identifying structural modification-associated differences in mass spectrometry (MS) data sets of complex biological samples. A new webtool (Manchester Peptide Location Fingerprinter), applied to photoaged and intrinsically aged skin proteomes, can relatively quantify peptides and map statistically significant differences to regions within protein structures. New photoageing biomarker candidates were identified in multiple pathways including extracellular matrix organisation (collagens and proteoglycans), protein synthesis and folding (ribosomal proteins and TRiC complex subunits), cornification (keratins) and hemidesmosome assembly (plectin and integrin α6β4). Crucially, peptide location fingerprinting uniquely identified 120 protein biomarker candidates in the dermis and 71 in the epidermis which were modified as a consequence of photoageing but did not differ significantly in relative abundance (measured by MS1 ion intensity). By applying peptide location fingerprinting to published MS data sets, (identifying biomarker candidates including collagen V and versican in ageing tendon) we demonstrate the potential of the MPLF webtool for biomarker discovery.
Collapse
Affiliation(s)
- Matiss Ozols
- Division of Cell Matrix Biology & Regenerative Medicine The University of Manchester Manchester UK
| | - Alexander Eckersley
- Division of Cell Matrix Biology & Regenerative Medicine The University of Manchester Manchester UK
| | - Kieran T. Mellody
- Division of Musculoskeletal & Dermatological Sciences The University of Manchester Manchester UK
| | - Venkatesh Mallikarjun
- Division of Cell Matrix Biology & Regenerative Medicine The University of Manchester Manchester UK
- Wellcome Centre for Cell‐Matrix Research The University of Manchester Manchester UK
| | - Stacey Warwood
- Division of Cell Matrix Biology & Regenerative Medicine The University of Manchester Manchester UK
- Biological Mass Spectrometry Core Research Facility School of Biological Sciences Faculty of Biology, Medicine and Health The University of Manchester Manchester UK
| | - Ronan O'Cualain
- Division of Cell Matrix Biology & Regenerative Medicine The University of Manchester Manchester UK
- Biological Mass Spectrometry Core Research Facility School of Biological Sciences Faculty of Biology, Medicine and Health The University of Manchester Manchester UK
| | - David Knight
- Division of Cell Matrix Biology & Regenerative Medicine The University of Manchester Manchester UK
- Biological Mass Spectrometry Core Research Facility School of Biological Sciences Faculty of Biology, Medicine and Health The University of Manchester Manchester UK
| | - Rachel E. B. Watson
- Division of Musculoskeletal & Dermatological Sciences The University of Manchester Manchester UK
- NIHR Manchester Biomedical Research CentreCentral Manchester University Hospitals NHS Foundation TrustManchester Academic Health Science Centre Manchester UK
| | - Christopher E. M. Griffiths
- Division of Musculoskeletal & Dermatological Sciences The University of Manchester Manchester UK
- NIHR Manchester Biomedical Research CentreCentral Manchester University Hospitals NHS Foundation TrustManchester Academic Health Science Centre Manchester UK
| | - Joe Swift
- Division of Cell Matrix Biology & Regenerative Medicine The University of Manchester Manchester UK
- Wellcome Centre for Cell‐Matrix Research The University of Manchester Manchester UK
| | - Michael J. Sherratt
- Division of Cell Matrix Biology & Regenerative Medicine The University of Manchester Manchester UK
| |
Collapse
|
6
|
Ozols M, Eckersley A, Platt CI, Stewart-McGuinness C, Hibbert SA, Revote J, Li F, Griffiths CEM, Watson REB, Song J, Bell M, Sherratt MJ. Predicting Proteolysis in Complex Proteomes Using Deep Learning. Int J Mol Sci 2021; 22:3071. [PMID: 33803033 PMCID: PMC8002881 DOI: 10.3390/ijms22063071] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/09/2021] [Revised: 03/10/2021] [Accepted: 03/12/2021] [Indexed: 12/27/2022] Open
Abstract
Both protease- and reactive oxygen species (ROS)-mediated proteolysis are thought to be key effectors of tissue remodeling. We have previously shown that comparison of amino acid composition can predict the differential susceptibilities of proteins to photo-oxidation. However, predicting protein susceptibility to endogenous proteases remains challenging. Here, we aim to develop bioinformatics tools to (i) predict cleavage site locations (and hence putative protein susceptibilities) and (ii) compare the predicted vulnerabilities of skin proteins to protease- and ROS-mediated proteolysis. The first goal of this study was to experimentally evaluate the ability of existing protease cleavage site prediction models (PROSPER and DeepCleave) to identify experimentally determined MMP9 cleavage sites in two purified proteins and in a complex human dermal fibroblast-derived extracellular matrix (ECM) proteome. We subsequently developed deep bidirectional recurrent neural network (BRNN) models to predict cleavage sites for 14 tissue proteases. The predictions of the new models were tested against experimental datasets and combined with amino acid composition analysis (to predict ultraviolet radiation (UVR)/ROS susceptibility) in a new web app: the Manchester proteome susceptibility calculator (MPSC). The BRNN models performed better in predicting cleavage sites in native dermal ECM proteins than existing models (DeepCleave and PROSPER), and application of MPSC to the skin proteome suggests that: compared with the elastic fiber network, fibrillar collagens may be susceptible primarily to protease-mediated proteolysis. We also identify additional putative targets of oxidative damage (dermatopontin, fibulins and defensins) and protease action (laminins and nidogen). MPSC has the potential to identify potential targets of proteolysis in disparate tissues and disease states.
Collapse
Affiliation(s)
- Matiss Ozols
- Division of Cell Matrix Biology & Regenerative Medicine, Faculty of Biology, Medicine and Health, Manchester Academic Health Science Centre, Manchester M13 9PT, UK; (A.E.); (C.I.P.); (C.S.-M.); (S.A.H.)
| | - Alexander Eckersley
- Division of Cell Matrix Biology & Regenerative Medicine, Faculty of Biology, Medicine and Health, Manchester Academic Health Science Centre, Manchester M13 9PT, UK; (A.E.); (C.I.P.); (C.S.-M.); (S.A.H.)
| | - Christopher I. Platt
- Division of Cell Matrix Biology & Regenerative Medicine, Faculty of Biology, Medicine and Health, Manchester Academic Health Science Centre, Manchester M13 9PT, UK; (A.E.); (C.I.P.); (C.S.-M.); (S.A.H.)
| | - Callum Stewart-McGuinness
- Division of Cell Matrix Biology & Regenerative Medicine, Faculty of Biology, Medicine and Health, Manchester Academic Health Science Centre, Manchester M13 9PT, UK; (A.E.); (C.I.P.); (C.S.-M.); (S.A.H.)
| | - Sarah A. Hibbert
- Division of Cell Matrix Biology & Regenerative Medicine, Faculty of Biology, Medicine and Health, Manchester Academic Health Science Centre, Manchester M13 9PT, UK; (A.E.); (C.I.P.); (C.S.-M.); (S.A.H.)
| | - Jerico Revote
- Monash Bioinformatics Platform, Monash University, Melbourne, VIC 3800, Australia;
- Infection and Immunity Program, Biomedicine Discovery Institute and Department of Biochemistry and Molecular Biology, Monash University, Melbourne, VIC 3800, Australia;
| | - Fuyi Li
- Department of Microbiology and Immunology, The Peter Doherty Institute for Infection and Immunity, The University of Melbourne, Melbourne, VIC 3800, Australia;
| | - Christopher E. M. Griffiths
- Centre for Dermatology Research, Faculty of Biology, Medicine and Health, and Salford Royal NHS Foundation Trust, Manchester Academic Health Science Centre, Manchester M13 9PT, UK; (C.E.M.G.); (R.E.B.W.)
- NIHR Manchester Biomedical Research Centre, Central Manchester University Hospitals NHS Foundation Trust, Manchester Academic Health Science Centre, Manchester M13 9WL, UK
| | - Rachel E. B. Watson
- Centre for Dermatology Research, Faculty of Biology, Medicine and Health, and Salford Royal NHS Foundation Trust, Manchester Academic Health Science Centre, Manchester M13 9PT, UK; (C.E.M.G.); (R.E.B.W.)
- NIHR Manchester Biomedical Research Centre, Central Manchester University Hospitals NHS Foundation Trust, Manchester Academic Health Science Centre, Manchester M13 9WL, UK
| | - Jiangning Song
- Infection and Immunity Program, Biomedicine Discovery Institute and Department of Biochemistry and Molecular Biology, Monash University, Melbourne, VIC 3800, Australia;
- Monash Centre for Data Science, Faculty of Information Technology, Monash University, Melbourne, VIC 3800, Australia
| | - Mike Bell
- Research and Development, Walgreens Boots Alliance, Thane Road, Nottingham NG90 1BS, UK;
| | - Michael J. Sherratt
- Division of Cell Matrix Biology & Regenerative Medicine, Faculty of Biology, Medicine and Health, Manchester Academic Health Science Centre, Manchester M13 9PT, UK; (A.E.); (C.I.P.); (C.S.-M.); (S.A.H.)
| |
Collapse
|
7
|
Proteomics reveals that quinoa bioester promotes replenishing effects in epidermal tissue. Sci Rep 2020; 10:19392. [PMID: 33173110 PMCID: PMC7655866 DOI: 10.1038/s41598-020-76325-6] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/14/2020] [Accepted: 10/27/2020] [Indexed: 12/21/2022] Open
Abstract
The continuous search for natural products that attenuate age-related losses has increasingly gained notice; among them, those applicable for skin care have drawn significant attention. The bioester generated from the Chenopodium quinoa’s oil is a natural-origin ingredient described to produce replenishing skin effects. With this as motivation, we used shotgun proteomics to study the effects of quinoa bioester on human reconstructed epidermis tridimensional cell cultures after 0, 3, 6, 12, 24, and 48 h of exposure. Our experimental setup employed reversed-phase nano-chromatography coupled online with an Orbitrap-XL and PatternLab for proteomics as the data analysis tool. Extracted ion chromatograms were obtained as surrogates for relative peptide quantitation. Our findings spotlight proteins with increased abundance, as compared to the untreated cell culture counterparts at the same timepoints, that were related to preventing premature aging, homeostasis, tissue regeneration, protection against ultraviolet radiation and oxidative damage.
Collapse
|
8
|
McCabe MC, Hill RC, Calderone K, Cui Y, Yan Y, Quan T, Fisher GJ, Hansen KC. Alterations in extracellular matrix composition during aging and photoaging of the skin. Matrix Biol Plus 2020; 8:100041. [PMID: 33543036 PMCID: PMC7852213 DOI: 10.1016/j.mbplus.2020.100041] [Citation(s) in RCA: 67] [Impact Index Per Article: 16.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/02/2020] [Revised: 04/02/2020] [Accepted: 06/05/2020] [Indexed: 02/07/2023] Open
Abstract
Human skin is composed of the cell-rich epidermis, the extracellular matrix (ECM) rich dermis, and the hypodermis. Within the dermis, a dense network of ECM proteins provides structural support to the skin and regulates a wide variety of signaling pathways which govern cell proliferation and other critical processes. Both intrinsic aging, which occurs steadily over time, and extrinsic aging (photoaging), which occurs as a result of external insults such as solar radiation, cause alterations to the dermal ECM. In this study, we utilized both quantitative and global proteomics, alongside single harmonic generation (SHG) and two-photon autofluorescence (TPAF) imaging, to assess changes in dermal composition during intrinsic and extrinsic aging. We find that both intrinsic and extrinsic aging result in significant decreases in ECM-supporting proteoglycans and structural ECM integrity, evidenced by decreasing collagen abundance and increasing fibril fragmentation. Intrinsic aging also produces changes distinct from those produced by photoaging, including reductions in elastic fiber and crosslinking enzyme abundance. In contrast, photoaging is primarily defined by increases in elastic fiber-associated protein and pro-inflammatory proteases. Changes associated with photoaging are evident even in young (mid 20s) sun-exposed forearm skin, indicating that proteomic evidence of photoaging is present decades prior to clinical signs of photoaging. GO term enrichment revealed that both intrinsic aging and photoaging share common features of chronic inflammation. The proteomic data has been deposited to the ProteomeXchange Consortium via the PRIDE partner repository with the data set identifier PXD015982. Intrinsic aging and photoaging both decrease ECM-supporting proteoglycans and structural ECM. Intrinsic aging produces reductions in elastic fiber and crosslinking enzyme abundance. Photoaging results in increases in pro-inflammatory proteases and elastic fiber abundance. Intrinsic aging and photoaging share common features associated with chronic inflammation. Proteomic changes associated with photoaging are evident decades prior to clinical aging signs.
Collapse
Key Words
- AUC, area under the curve
- Aging
- CE, cornified envelope
- CNBr, cyanogen bromide
- Collagen
- ECM, extracellular matrix
- Extracellular matrix
- GO, gene ontology
- Photoaging
- Proteomics
- QconCATs, quantitative concatemers
- SHG, single harmonic generation
- Skin
- TPAF, two-photon autofluorescence
- UV, ultraviolet
- iECM, insoluble ECM
- sECM, soluble ECM
Collapse
Affiliation(s)
- Maxwell C. McCabe
- Department of Biochemistry and Molecular Genetics, School of Medicine, University of Colorado, 12801 E 17th Ave., Aurora, CO 80045, USA
| | - Ryan C. Hill
- Department of Biochemistry and Molecular Genetics, School of Medicine, University of Colorado, 12801 E 17th Ave., Aurora, CO 80045, USA
| | - Kenneth Calderone
- Department of Dermatology, University of Michigan, 1150 W. Medical Center Drive, Medical Science I R6447, Ann Arbor, MI 48109, USA
| | - Yilei Cui
- Department of Dermatology, University of Michigan, 1150 W. Medical Center Drive, Medical Science I R6447, Ann Arbor, MI 48109, USA
| | - Yan Yan
- Department of Dermatology, University of Michigan, 1150 W. Medical Center Drive, Medical Science I R6447, Ann Arbor, MI 48109, USA
| | - Taihao Quan
- Department of Dermatology, University of Michigan, 1150 W. Medical Center Drive, Medical Science I R6447, Ann Arbor, MI 48109, USA
| | - Gary J. Fisher
- Department of Dermatology, University of Michigan, 1150 W. Medical Center Drive, Medical Science I R6447, Ann Arbor, MI 48109, USA
| | - Kirk C. Hansen
- Department of Biochemistry and Molecular Genetics, School of Medicine, University of Colorado, 12801 E 17th Ave., Aurora, CO 80045, USA
- Corresponding author.
| |
Collapse
|
9
|
Newton VL, Riba-Garcia I, Griffiths CEM, Rawlings AV, Voegeli R, Unwin RD, Sherratt MJ, Watson REB. Mass spectrometry-based proteomics reveals the distinct nature of the skin proteomes of photoaged compared to intrinsically aged skin. Int J Cosmet Sci 2019; 41:118-131. [PMID: 30661253 DOI: 10.1111/ics.12513] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/22/2018] [Accepted: 12/15/2018] [Indexed: 12/15/2022]
Abstract
OBJECTIVE With increasing age, skin is subject to alterations in its organization, which impact on its function as well as having clinical consequences. Proteomics is a useful tool for non-targeted, semi-quantitative simultaneous investigation of high numbers of proteins. In the current study, we utilize proteomics to characterize and contrast age-associated differences in photoexposed and photoprotected skin, with a focus on the epidermis, dermal-epidermal junction and papillary dermis. METHODS Skin biopsies from buttock (photoprotected) and forearm (photoexposed) of healthy volunteers (aged 18-30 or ≥65 years) were transversely sectioned from the stratum corneum to a depth of 250 μm. Following SDS-PAGE, each sample lane was segmented prior to analysis by liquid chromatography-mass spectrometry/mass spectrometry. Pathway analysis was carried out using Ingenuity IPA. RESULTS Comparison of skin proteomes at buttock and forearm sites revealed differences in relative protein abundance. Ageing in skin on the photoexposed forearm resulted in 80% of the altered proteins being increased with age, in contrast to the photoprotected buttock where 74% of altered proteins with age were reduced. Functionally, age-altered proteins in the photoexposed forearm were associated with conferring structure, energy and metabolism. In the photoprotected buttock, proteins associated with gene expression, free-radical scavenging, protein synthesis and protein degradation were most frequently altered. CONCLUSION This study highlights the necessity of not considering photoageing as an accelerated intrinsic ageing, but as a distinct physiological process.
Collapse
Affiliation(s)
- V L Newton
- Centre for Dermatology Research, Division of Musculoskeletal & Dermatological Sciences, School of Biological Sciences, Manchester Academic Health Science Centre, University of Manchester, and Salford Royal NHS Foundation Trust, Manchester, UK.,NIHR Manchester Biomedical Research Centre, Central Manchester University Hospitals NHS Foundation Trust, Manchester Academic Health Science Centre, Manchester, UK
| | - I Riba-Garcia
- Division of Cardiovascular Sciences, School of Medical Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester Academic Health Science Centre, Core Technology facility (3rd Floor), 46 Grafton Street, Manchester, M13 9NT, UK
| | - C E M Griffiths
- Centre for Dermatology Research, Division of Musculoskeletal & Dermatological Sciences, School of Biological Sciences, Manchester Academic Health Science Centre, University of Manchester, and Salford Royal NHS Foundation Trust, Manchester, UK.,NIHR Manchester Biomedical Research Centre, Central Manchester University Hospitals NHS Foundation Trust, Manchester Academic Health Science Centre, Manchester, UK
| | | | - R Voegeli
- DSM Nutritional Products Ltd, Kaiseraugst, Switzerland
| | - R D Unwin
- Division of Cardiovascular Sciences, School of Medical Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester Academic Health Science Centre, Core Technology facility (3rd Floor), 46 Grafton Street, Manchester, M13 9NT, UK
| | - M J Sherratt
- Division of Cell Matrix Biology and Regenerative Medicine, School of Biological Sciences, Manchester Academic Health Science Centre, The University of Manchester, Manchester, UK
| | - R E B Watson
- Centre for Dermatology Research, Division of Musculoskeletal & Dermatological Sciences, School of Biological Sciences, Manchester Academic Health Science Centre, University of Manchester, and Salford Royal NHS Foundation Trust, Manchester, UK.,NIHR Manchester Biomedical Research Centre, Central Manchester University Hospitals NHS Foundation Trust, Manchester Academic Health Science Centre, Manchester, UK
| |
Collapse
|