Matthew Moll1, Romy B Christmann2, Yuqing Zhang3,4, Michael L Whitfield5, Yu Mei Wang2, Lisa Rice2, Eric Stratton2, Robert Lafyatis2,6, Harrison W Farber7. 1. Pulmonary and Critical Care Division, Brigham and Women's Hospital, Boston, MA 02115, USA. 2. Division of Rheumatology, Department of Medicine, Boston University School of Medicine, Boston, MA, USA. 3. Division of Rheumatology, Allergy, and Immunology, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA. 4. Clinical Epidemiology Research and Training Unit, Boston University School of Medicine, Boston, Massachusetts, USA. 5. Department of Molecular and Systems Biology, Geisel School of Medicine at Dartmouth, 7400 Remsen, Hanover, NH, 03755, USA. 6. Division of Rheumatology and Clinical Immunology, Department of Medicine, University of Pittsburgh Medical Center, Pittsburgh, PA, 15261, USA. 7. Pulmonary Center, Department of Medicine, Boston University School of Medicine, Boston, MA, 02118, USA. hfarber@bu.edu.
Abstract
OBJECTIVE: Pulmonary arterial hypertension (PAH) and interstitial lung disease (ILD) are major causes of mortality in systemic sclerosis (SSc). We used a previously identified microarray biomarker to determine if SSc-PAH and SSc-ILD patients demonstrate distinct gene expression profiles. METHODS: PBMCs were collected from healthy controls (n=10), SSc (SSc) patients without pulmonary hypertension [SSc-noPAH, n=39], and SSc-PAH patients (n=21; mPAP≥25, PCWP≤15, PVR≥3WU) diagnosed by right heart catheterization (RHC). SSc-ILD patients were defined as those with evidence of fibrosis on chest CT and significant restriction (FVC<70% predicted, n = 11). SSc-PAH biomarker included 69 genes selected by unbiased statistical screening of 3 publicly available microarray studies. RNA levels were measured by Nanostring. Gene expression levels that were significantly correlated with PAH (multiple statistical measures) were chosen as inputs into a forward selection logistic regression model. RESULTS: When ILD patients were included (n=64), 4 genes (S100P, CD8B1, CCL2, TIMP1) and male sex predicted PAH with a high level of accuracy (AUC = 0.83). Without ILD patients (n=53), 2 genes (THBS1, CD8B1) and male sex predicted PAH with a high level of accuracy (AUC = 0.80). When examining SSc patients with borderline elevated pulmonary pressures (mPAP = 21-24 mmHg), gene expression changes closely resembled the SSc-PAH group, except for THBS1. CONCLUSION: SSc-PAH and SSc-ILD have similar, but distinct, gene expression profiles. Many gene expression changes occur early in the disease course, potentially allowing for early detection. THBS1 appears to be an important mediator in the development of PAH-predominant phenotype. Further prospective investigation is warranted.
OBJECTIVE: Pulmonary arterial hypertension (PAH) and interstitial lung disease (ILD) are major causes of mortality in systemic sclerosis (SSc). We used a previously identified microarray biomarker to determine if SSc-PAH and SSc-ILD patients demonstrate distinct gene expression profiles. METHODS: PBMCs were collected from healthy controls (n=10), SSc (SSc) patients without pulmonary hypertension [SSc-noPAH, n=39], and SSc-PAH patients (n=21; mPAP≥25, PCWP≤15, PVR≥3WU) diagnosed by right heart catheterization (RHC). SSc-ILD patients were defined as those with evidence of fibrosis on chest CT and significant restriction (FVC<70% predicted, n = 11). SSc-PAH biomarker included 69 genes selected by unbiased statistical screening of 3 publicly available microarray studies. RNA levels were measured by Nanostring. Gene expression levels that were significantly correlated with PAH (multiple statistical measures) were chosen as inputs into a forward selection logistic regression model. RESULTS: When ILD patients were included (n=64), 4 genes (S100P, CD8B1, CCL2, TIMP1) and male sex predicted PAH with a high level of accuracy (AUC = 0.83). Without ILD patients (n=53), 2 genes (THBS1, CD8B1) and male sex predicted PAH with a high level of accuracy (AUC = 0.80). When examining SSc patients with borderline elevated pulmonary pressures (mPAP = 21-24 mmHg), gene expression changes closely resembled the SSc-PAH group, except for THBS1. CONCLUSION: SSc-PAH and SSc-ILD have similar, but distinct, gene expression profiles. Many gene expression changes occur early in the disease course, potentially allowing for early detection. THBS1 appears to be an important mediator in the development of PAH-predominant phenotype. Further prospective investigation is warranted.
Authors: Guozheng Wang; Shu Zhang; David G Fernig; David Spiller; Marisa Martin-Fernandez; Hongmei Zhang; Yi Ding; Zihe Rao; Philip S Rudland; Roger Barraclough Journal: Biochem J Date: 2004-08-15 Impact factor: 3.857
Authors: Romy B Christmann; Everett Hayes; Sarah Pendergrass; Cristina Padilla; Giuseppina Farina; Alsya J Affandi; Michael L Whitfield; Harrison W Farber; Robert Lafyatis Journal: Arthritis Rheum Date: 2011-06
Authors: Anthony J Tyndall; Bettina Bannert; Madelon Vonk; Paolo Airò; Franco Cozzi; Patricia E Carreira; Dominique Farge Bancel; Yannick Allanore; Ulf Müller-Ladner; Oliver Distler; Florenzo Iannone; Raffaele Pellerito; Margarita Pileckyte; Irene Miniati; Lidia Ananieva; Alexandra Balbir Gurman; Nemanja Damjanov; Adelheid Mueller; Gabriele Valentini; Gabriela Riemekasten; Mohammed Tikly; Laura Hummers; Maria J S Henriques; Paola Caramaschi; Agneta Scheja; Blaz Rozman; Evelien Ton; Gábor Kumánovics; Bernard Coleiro; Eva Feierl; Gabriella Szucs; Carlos Alberto Von Mühlen; Valeria Riccieri; Srdan Novak; Carlo Chizzolini; Anna Kotulska; Christopher Denton; Paulo C Coelho; Ina Kötter; Ismail Simsek; Paloma García de la Pena Lefebvre; Eric Hachulla; James R Seibold; Simona Rednic; Jirí Stork; Jadranka Morovic-Vergles; Ulrich A Walker Journal: Ann Rheum Dis Date: 2010-06-15 Impact factor: 19.103
Authors: Sarah A Pendergrass; Everett Hayes; Giuseppina Farina; Raphael Lemaire; Harrison W Farber; Michael L Whitfield; Robert Lafyatis Journal: PLoS One Date: 2010-08-17 Impact factor: 3.240
Authors: Chris Cheadle; Alan E Berger; Stephen C Mathai; Dmitry N Grigoryev; Tonya N Watkins; Yumiko Sugawara; Sangjucta Barkataki; Jinshui Fan; Meher Boorgula; Laura Hummers; Ari L Zaiman; Reda Girgis; Michael A McDevitt; Roger A Johns; Frederick Wigley; Kathleen C Barnes; Paul M Hassoun Journal: PLoS One Date: 2012-04-24 Impact factor: 3.240
Authors: David Labrousse-Arias; Raquel Castillo-González; Natasha M Rogers; Mar Torres-Capelli; Bianca Barreira; Julián Aragonés; Ángel Cogolludo; Jeffrey S Isenberg; María J Calzada Journal: Cardiovasc Res Date: 2015-10-26 Impact factor: 10.787
Authors: Lorinda Chung; Robyn T Domsic; Bharathi Lingala; Firas Alkassab; Marcy Bolster; M E Csuka; Chris Derk; Aryeh Fischer; Tracy Frech; Daniel E Furst; Mardi Gomberg-Maitland; Monique Hinchcliff; Vivien Hsu; Laura K Hummers; Dinesh Khanna; Thomas A Medsger; Jerry A Molitor; Ioana R Preston; Elena Schiopu; Lee Shapiro; Richard Silver; Robert Simms; John Varga; Jessica K Gordon; Virginia D Steen Journal: Arthritis Care Res (Hoboken) Date: 2014-03 Impact factor: 5.178
Authors: Katalin Szabó; Levente Bodoki; Melinda Nagy-Vincze; Tibor Béldi; Anett Vincze; Erika Zilahi; József Varga; Gabriella Szűcs; Katalin Dankó; Zoltán Griger Journal: Biomed Res Int Date: 2022-05-02 Impact factor: 3.246