Integrated analysis of dermal blister fluid proteomics and genome-wide skin gene expression in systemic sclerosis: an observational study.
Journal
The Lancet. Rheumatology
ISSN: 2665-9913
Titre abrégé: Lancet Rheumatol
Pays: England
ID NLM: 101765308
Informations de publication
Date de publication:
Jul 2022
Jul 2022
Historique:
entrez:
21
11
2022
pubmed:
22
11
2022
medline:
22
11
2022
Statut:
epublish
Résumé
Skin fibrosis is a hallmark feature of systemic sclerosis. Skin biopsy transcriptomics and blister fluid proteomics give insight into the local environment of the skin. We have integrated these modalities with the aim of developing a surrogate for the modified Rodnan skin score (mRSS), using candidate genes and proteins from the skin and blister fluid as anchors to identify key analytes in the plasma. In this single-centre, prospective observational study at the Royal Free Campus, University College London, London, UK, transcriptional and proteomic analyses of blood and skin were performed in a cohort of patients with systemic sclerosis (n=52) and healthy controls (n=16). Weighted gene co-expression network analysis was used to explore the association of skin transcriptomics data, clinical traits, and blister fluid proteomic results. Candidate hub analytes were identified as those present in both blister and skin gene sets (modules), and which correlated with plasma (module membership >0·7 and gene significance >0·6). Hub analytes were confirmed using RNA transcript data obtained from skin biopsy samples from patients with early diffuse cutaneous systemic sclerosis at 12 months. We identified three modules in the skin, and two in blister fluid, which correlated with a diagnosis of early diffuse cutaneous systemic sclerosis. From these modules, 11 key hub analytes were identified, present in both skin and blister fluid modules, whose transcript and protein levels correlated with plasma protein concentrations, mRSS, and showed statistically significant correlation on repeat transcriptomic samples taken at 12 months. Multivariate analysis identified four plasma analytes as correlates of mRSS (COL4A1, COMP, SPON1, and TNC), which can be used to differentiate disease subtype. This unbiased approach has identified potential biological candidates that might be drivers of local skin pathogenesis in systemic sclerosis. By focusing on measurable analytes in the plasma, we generated a promising composite plasma protein biomarker that could be used for assessment of skin severity, case stratification, and as a potential outcome measure for clinical trials and practice. Once fully validated, the biomarker score could replace a clinical score such as the mRSS, which carries substantial variability. GlaxoSmithKline and UK Medical Research Council.
Sections du résumé
Background
UNASSIGNED
Skin fibrosis is a hallmark feature of systemic sclerosis. Skin biopsy transcriptomics and blister fluid proteomics give insight into the local environment of the skin. We have integrated these modalities with the aim of developing a surrogate for the modified Rodnan skin score (mRSS), using candidate genes and proteins from the skin and blister fluid as anchors to identify key analytes in the plasma.
Methods
UNASSIGNED
In this single-centre, prospective observational study at the Royal Free Campus, University College London, London, UK, transcriptional and proteomic analyses of blood and skin were performed in a cohort of patients with systemic sclerosis (n=52) and healthy controls (n=16). Weighted gene co-expression network analysis was used to explore the association of skin transcriptomics data, clinical traits, and blister fluid proteomic results. Candidate hub analytes were identified as those present in both blister and skin gene sets (modules), and which correlated with plasma (module membership >0·7 and gene significance >0·6). Hub analytes were confirmed using RNA transcript data obtained from skin biopsy samples from patients with early diffuse cutaneous systemic sclerosis at 12 months.
Findings
UNASSIGNED
We identified three modules in the skin, and two in blister fluid, which correlated with a diagnosis of early diffuse cutaneous systemic sclerosis. From these modules, 11 key hub analytes were identified, present in both skin and blister fluid modules, whose transcript and protein levels correlated with plasma protein concentrations, mRSS, and showed statistically significant correlation on repeat transcriptomic samples taken at 12 months. Multivariate analysis identified four plasma analytes as correlates of mRSS (COL4A1, COMP, SPON1, and TNC), which can be used to differentiate disease subtype.
Interpretation
UNASSIGNED
This unbiased approach has identified potential biological candidates that might be drivers of local skin pathogenesis in systemic sclerosis. By focusing on measurable analytes in the plasma, we generated a promising composite plasma protein biomarker that could be used for assessment of skin severity, case stratification, and as a potential outcome measure for clinical trials and practice. Once fully validated, the biomarker score could replace a clinical score such as the mRSS, which carries substantial variability.
Funding
UNASSIGNED
GlaxoSmithKline and UK Medical Research Council.
Identifiants
pubmed: 36404995
doi: 10.1016/S2665-9913(22)00094-7
pii: S2665-9913(22)00094-7
pmc: PMC9669928
doi:
Types de publication
Journal Article
Langues
eng
Pagination
e507-e516Subventions
Organisme : Medical Research Council
ID : MR/T001631/1
Pays : United Kingdom
Informations de copyright
© 2022 The Author(s). Published by Elsevier Ltd. This is an Open Access article under the CC BY 4.0 license.
Déclaration de conflit d'intérêts
CPD reports consulting fees or honoraria from Janssen, GlaxoSmithKline, Roche, Boehringer Ingelheim, Sanofi, Galapagos, Inventiva, Corbus, Acceleron, Horizon, Gesynta, and ARXX Therapeutics; and from research grants to their institution from GlaxoSmithKline, ARXX Therapeutics, Servier, and Horizon Therapeutics. NW, SMF, YVT, JF, NG, EC, KN, and MAM are employees of GlaxoSmithKline. NG, EC, JF, NW, MAM, SMF, and KN are shareholders in GlaxoSmithKline. All other authors declare no competing interests
Références
Lancet. 2016 Jun 25;387(10038):2630-2640
pubmed: 27156934
J Rheumatol. 1988 Feb;15(2):202-5
pubmed: 3361530
Arthritis Res Ther. 2021 Oct 15;23(1):259
pubmed: 34654463
J Rheumatol. 1995 Jul;22(7):1271-6
pubmed: 7562757
Ann Rheum Dis. 2020 May;79(5):618-625
pubmed: 32299845
Ann Rheum Dis. 2020 Mar;79(3):379-386
pubmed: 31767698
Adv Wound Care (New Rochelle). 2017 Oct 1;6(10):356-369
pubmed: 29062592
Ann Rheum Dis. 2019 Jun;78(6):817-825
pubmed: 30952646
Rheumatology (Oxford). 2012 May;51(5):915-20
pubmed: 22253028
Arthritis Rheumatol. 2015 Nov;67(11):3004-15
pubmed: 26240058
Front Pharmacol. 2020 Dec 22;11:585346
pubmed: 33414717
Lab Invest. 2017 Jul;97(7):806-818
pubmed: 28346399
Life Sci. 2021 Apr 15;271:119151
pubmed: 33539912
Int J Mol Med. 2019 Nov;44(5):1753-1770
pubmed: 31545397
Arthritis Res Ther. 2015 Mar 23;17:73
pubmed: 25885360
Arthritis Rheum. 2010 Feb;62(2):580-8
pubmed: 20112379
J Dermatol. 2017 Feb;44(2):167-172
pubmed: 27568491
Ann Rheum Dis. 2020 Dec;79(12):1600-1607
pubmed: 32963047
Nat Commun. 2016 Jun 03;7:11703
pubmed: 27256716
Arthritis Rheum. 2013 Nov;65(11):2737-47
pubmed: 24122180
Arthritis Rheumatol. 2021 Apr;73(4):660-670
pubmed: 33131208
J Scleroderma Relat Disord. 2017 Jan-Apr;2(1):11-18
pubmed: 28516167
Matrix Biol. 2006 May;25(4):213-22
pubmed: 16520029
PLoS One. 2015 Jan 21;10(1):e0114017
pubmed: 25607805
J Invest Dermatol. 2017 Jan;137(1):62-70
pubmed: 27640094
Bone Joint Res. 2020 Aug 02;9(8):501-514
pubmed: 32922758
Ann Rheum Dis. 2008 Sep;67(9):1242-8
pubmed: 18065498
Ann Rheum Dis. 2021 Dec;80(12):1584-1593
pubmed: 34230031