Literature DB >> 29760155

Association of circulating CXCL10 and CXCL11 with systemic sclerosis.

Stefania Basili1, Cristina Antinozzi2, Clara Crescioli2, Clarissa Corinaldesi2,3, Valeria Riccieri1, Valeria Raparelli4, Massimiliano Vasile1, Francesco Del Galdo3,5, Guido Valesini1, Andrea Lenzi4.   

Abstract

Entities:  

Keywords:  autoimmunity; chemokines; systemic sclerosis

Mesh:

Substances:

Year:  2018        PMID: 29760155      PMCID: PMC6241615          DOI: 10.1136/annrheumdis-2018-213257

Source DB:  PubMed          Journal:  Ann Rheum Dis        ISSN: 0003-4967            Impact factor:   19.103


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Systemic sclerosis (SSc) is an autoimmune disorder defined ‘vascular’ disease1 due to early defective angiogenesis ending in severe multiorgan fibrosis.2 Biomarker(s) mirroring early microvascular derangements in SSc,3 potentially useful for very early diagnosis, are lacking. C-X-C angiostatic chemokines induced by interferon-γ, like CXCL10 and CXCL11, are involved in vasculopathy and associate with more severe SSc.4 5 We investigated whether the shift from very early diagnosis of SSc (VEDOSS), when vasculopathy and fibrosis are at very low degree, to definite SSc elicits serum CXCL10/CXCL11 modifications. CXCL10/CXCL11 were measured by multiplatform bead array in 26 healthy subjects; 62 sera from women admitted to the Scleroderma Clinic of Policlinico Umberto I, Sapienza University of Rome: 34 sera were from VEDOSS6 (mean age 50.50±13.66 years, mean disease duration 11.1±4.2 months) and 28 sera from patients with SSc (mean age 56.56±12.45 years, mean disease 91.3±11.73 months) fulfilling the new American College of Rheumatology/European League Against Rheumatism 2013 classification7; table 1 reports patient characteristics.
Table 1

Demographic and clinical characteristics of patients with very early diagnosis of systemic sclerosis (VEDOSS) and systemic sclerosis (SSc) (whose sera sample collection was used in the study).

CharacteristicsSSc (n=28)VEDOSS (n=34)
 Age (years)56.56±12.4550.50±13.66
 Male
 Female2834
 lcSSc subsets25 (89%)
 dcSSc subsets3 (11%)
 Disease duration (months)91.3±11.7311.1±4.2
 ANA26 (93%)31 (91%)
 ACA16 (57%)17 (50%)
 Anti-topoisomerase I (Scl-70)4 (14%)5 (15%)
 Digital ulcers4 (14%)
 Normal NVC pattern1 (4%)13 (38%)
 Early NVC pattern6 (21%)11 (32%)
 Active NVC pattern13 (46%)9 (26%)
 Late NVC pattern8 (29%)1 (3%)
 Interstitial lung disease6 (21%)

Age and disease duration were expressed as mean±SD/SE; disease duration was calculated since the first Raynaud phenomenon in VEDOSS and non-Raynaud symptom of SSc. Patients were not receiving corticosteroids, immunosuppressant or other disease-modifying drugs; patients with cardiac disease, pulmonary artery hypertension or active diseases other than SSc were excluded. Interstitial lung disease was determined by high-resolution computed tomography CT scan. ACA, anti-centromere antibodies; ANA, antinuclear antibodies; dcSSc, diffuse cutaneous SSc; lcSSc, limited cutaneous SSc; NVC, nailfold videocapillaroscopy.

Demographic and clinical characteristics of patients with very early diagnosis of systemic sclerosis (VEDOSS) and systemic sclerosis (SSc) (whose sera sample collection was used in the study). Age and disease duration were expressed as mean±SD/SE; disease duration was calculated since the first Raynaud phenomenon in VEDOSS and non-Raynaud symptom of SSc. Patients were not receiving corticosteroids, immunosuppressant or other disease-modifying drugs; patients with cardiac disease, pulmonary artery hypertension or active diseases other than SSc were excluded. Interstitial lung disease was determined by high-resolution computed tomography CT scan. ACA, anti-centromere antibodies; ANA, antinuclear antibodies; dcSSc, diffuse cutaneous SSc; lcSSc, limited cutaneous SSc; NVC, nailfold videocapillaroscopy. Within VEDOSS, 29 subjects had a second blood sample collected during follow-up (T1, 40.67±5.46 months); for each one, we compared baseline (T0) and T1 serum chemokines. Informed consent was obtained. CXCL10/CXCL11 were significantly higher in SSc (median: CXCL10 497.70 (range: 48.49–2206) pg/mL; CXCL11 107.20 (15.00–882) pg/mL) versus VEDOSS (CXCL10 168.70 (21.66–1202) pg/mL; CXCL11 23.30 (1.47–217.20) pg/mL) or healthy subjects (CXCL10 145.40 (15.86–310.30) pg/mL; CXCL11 10.90 (4.30–189.20) pg/mL) (figure 1A, B). All patients showed serum chemokines stratification according to capillaroscopic patterns (figure 1C, D), while chemokine levels did not significantly differ when related to anti-centromere antibodies or anti-topoisomerase positivity (not shown). VEDOSS subsequently shifted to SSc showed higher baseline chemokines (T0: CXCL10 217 (53.68–469.00) pg/mL; CXCL11 40.57 (15.74–92.04) pg/mL) versus subjects persistent in VEDOSS condition (T0: CXCL10 137.70 (21.66–339) pg/mL; CXCL11 17.47 (1.47–32.03) pg/mL) (figure 1E, F). Only VEDOSS shifted to SSc showed CXCL10/CXCL11 increase at T1 (570.80 (53.25–875.20) pg/mL). Both chemokines were able to discriminate VEDOSS subjects developing SSc (figure 1G, H) with the following cut-off values, identified by receiver operating characteristic (ROC) analysis: CXCL10 ≥165 pg/mL, area under the curve (AUC)=0.70 (95% CI 0.52 to 0.94, p<0.01) with 0.75 sensitivity and 0.70 specificity; CXCL11 ≥29.67 pg/mL, AUC=0.80 (95% CI 0.67 to 0.99, p<0.01) with 0.75 sensitivity and 0.88 specificity. Serum CXCL10 and CXCL11 positively correlated (ρ=0.6, p<0.0001) (figure 1I).
Figure 1

CXCL10 and CXCL11 serum-level modifications associated with very early diagnosis of systemic sclerosis (VEDOSS) and systemic sclerosis (SSc) condition. Baseline serum CXCL10 and CXCL11 levels in VEDOSS versus SSc and healthy subjects (A, B); CXCL10 and CXCL11 serum concentration according to capillaroscopic patterns in VEDOSS and SSc (C, D)—normal, early, active and late; CXCL10 and CXCL11 baseline (T0) and follow-up (T1) determination in sera of VEDOSS subjects shifted (grey boxes) or not (empty boxes) to SSc (E, F); receiver operating characteristic (ROC) curves constructed using chemokine baseline levels (T0) to identify CXCL10 and CXCL11 threshold (cut-off value) capable of discriminating VEDOSS subjects shifting or not to SSc (G, H); CXCL10 and CXCL11 serum-level correlation (I). GraphPad Prism V.5 software (GraphPad Software, La Jolla, California, USA) and SPSS V.24.0 software (SPSS) were used for statistical analysis. The Kolmogorov-Smirnov test was used for normal distribution of the data. Groupwise comparisons were performed using the Mann-Whitney U test. ROC curves were to give a graphic representation of the relationship between true-positive fraction (sensitivity, SE) and false-positive fraction (1 – specificity, Sp); ROC curves were assessed by plotting the values of 1 – Sp against Se in a squared box, where the ROC’s area under the curve (AUC) is used to measure the performance of a diagnostic test. The AUC lies in the interval 0.5–1.0, so that the greater the area, the better the performance of the variable being examined. Chemokine association was determined using Pearson’s correlation coefficient. For all tests, a two-sided p value <0.05 was considered significant. NVC, nailfold videocapillaroscopy.

CXCL10 and CXCL11 serum-level modifications associated with very early diagnosis of systemic sclerosis (VEDOSS) and systemic sclerosis (SSc) condition. Baseline serum CXCL10 and CXCL11 levels in VEDOSS versus SSc and healthy subjects (A, B); CXCL10 and CXCL11 serum concentration according to capillaroscopic patterns in VEDOSS and SSc (C, D)—normal, early, active and late; CXCL10 and CXCL11 baseline (T0) and follow-up (T1) determination in sera of VEDOSS subjects shifted (grey boxes) or not (empty boxes) to SSc (E, F); receiver operating characteristic (ROC) curves constructed using chemokine baseline levels (T0) to identify CXCL10 and CXCL11 threshold (cut-off value) capable of discriminating VEDOSS subjects shifting or not to SSc (G, H); CXCL10 and CXCL11 serum-level correlation (I). GraphPad Prism V.5 software (GraphPad Software, La Jolla, California, USA) and SPSS V.24.0 software (SPSS) were used for statistical analysis. The Kolmogorov-Smirnov test was used for normal distribution of the data. Groupwise comparisons were performed using the Mann-Whitney U test. ROC curves were to give a graphic representation of the relationship between true-positive fraction (sensitivity, SE) and false-positive fraction (1 – specificity, Sp); ROC curves were assessed by plotting the values of 1 – Sp against Se in a squared box, where the ROC’s area under the curve (AUC) is used to measure the performance of a diagnostic test. The AUC lies in the interval 0.5–1.0, so that the greater the area, the better the performance of the variable being examined. Chemokine association was determined using Pearson’s correlation coefficient. For all tests, a two-sided p value <0.05 was considered significant. NVC, nailfold videocapillaroscopy. Due to CXCL10/CXCL11 detrimental effects on vessel homeostasis,5 8 9 their higher baseline concentration in VEDOSS thereafter developing SSc likely mirrors the earliest vascular bed alteration(s)/modification(s)/rearrangement(s) occurring when vasculopathy is still at low degree. With vascular damage progression, serum chemokines increased, as suggested by level stratification according to the capillaroscopic patterns. VEDOSS subjects retaining lower CXCL10/CXCL11 overtime (at T0 and T1) did not evolve to definite SSc and maintained normal capillaroscopic pattern. The small sample size investigated did not allow more robust combined analysis, completed by several validation stages, required by studies on functional biomarkers.10 Result confirmation needs larger sample size, including more clinical variables and closer follow-up. This preliminary cross-sectional/retrospective analysis encourages further and larger works to ascertain if chemokines may be really the turning point from VEDOSS to definite SSc.
  8 in total

1.  Evidence for a Derangement of the Microvascular System in Patients with a Very Early Diagnosis of Systemic Sclerosis.

Authors:  Inês Chora; Eloisa Romano; Mirko Manetti; Celestina Mazzotta; Raquel Costa; Vera Machado; Alice Cortez; Cosimo Bruni; Gemma Lepri; Serena Guiducci; Amato De Paulis; Raquel Soares; Marco Matucci-Cerinic
Journal:  J Rheumatol       Date:  2017-05-15       Impact factor: 4.666

Review 2.  Review: evidence that systemic sclerosis is a vascular disease.

Authors:  Marco Matucci-Cerinic; Bashar Kahaleh; Fredrick M Wigley
Journal:  Arthritis Rheum       Date:  2013-08

3.  Correlation of interferon-inducible chemokine plasma levels with disease severity in systemic sclerosis.

Authors:  Xiaochun Liu; Maureen D Mayes; Filemon K Tan; Minghua Wu; John D Reveille; Brock E Harper; Hilda T Draeger; Emilio B Gonzalez; Shervin Assassi
Journal:  Arthritis Rheum       Date:  2013-01

4.  Interferon and alternative activation of monocyte/macrophages in systemic sclerosis-associated pulmonary arterial hypertension.

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

5.  Preliminary criteria for the very early diagnosis of systemic sclerosis: results of a Delphi Consensus Study from EULAR Scleroderma Trials and Research Group.

Authors:  J Avouac; J Fransen; U A Walker; V Riccieri; V Smith; C Muller; I Miniati; I H Tarner; S Bellando Randone; M Cutolo; Y Allanore; O Distler; G Valentini; L Czirjak; U Müller-Ladner; D E Furst; A Tyndall; M Matucci-Cerinic
Journal:  Ann Rheum Dis       Date:  2010-11-15       Impact factor: 19.103

6.  Differential expression of three T lymphocyte-activating CXC chemokines by human atheroma-associated cells.

Authors:  F Mach; A Sauty; A S Iarossi; G K Sukhova; K Neote; P Libby; A D Luster
Journal:  J Clin Invest       Date:  1999-10       Impact factor: 14.808

Review 7.  Systemic sclerosis: a prototypic multisystem fibrotic disorder.

Authors:  John Varga; David Abraham
Journal:  J Clin Invest       Date:  2007-03       Impact factor: 14.808

8.  2013 classification criteria for systemic sclerosis: an American college of rheumatology/European league against rheumatism collaborative initiative.

Authors:  Frank van den Hoogen; Dinesh Khanna; Jaap Fransen; Sindhu R Johnson; Murray Baron; Alan Tyndall; Marco Matucci-Cerinic; Raymond P Naden; Thomas A Medsger; Patricia E Carreira; Gabriela Riemekasten; Philip J Clements; Christopher P Denton; Oliver Distler; Yannick Allanore; Daniel E Furst; Armando Gabrielli; Maureen D Mayes; Jacob M van Laar; James R Seibold; Laszlo Czirjak; Virginia D Steen; Murat Inanc; Otylia Kowal-Bielecka; Ulf Müller-Ladner; Gabriele Valentini; Douglas J Veale; Madelon C Vonk; Ulrich A Walker; Lorinda Chung; David H Collier; Mary Ellen Csuka; Barri J Fessler; Serena Guiducci; Ariane Herrick; Vivien M Hsu; Sergio Jimenez; Bashar Kahaleh; Peter A Merkel; Stanislav Sierakowski; Richard M Silver; Robert W Simms; John Varga; Janet E Pope
Journal:  Ann Rheum Dis       Date:  2013-11       Impact factor: 19.103

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3.  The Long Non-coding RNA NRIR Drives IFN-Response in Monocytes: Implication for Systemic Sclerosis.

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4.  Sildenafil Reduces Expression and Release of IL-6 and IL-8 Induced by Reactive Oxygen Species in Systemic Sclerosis Fibroblasts.

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5.  Systemic Sclerosis Serum Significantly Impairs the Multi-Step Lymphangiogenic Process: in Vitro Evidence.

Authors:  Mirko Manetti; Eloisa Romano; Irene Rosa; Bianca Saveria Fioretto; Serena Guiducci; Silvia Bellando-Randone; Erika Pigatto; Franco Cozzi; Lidia Ibba-Manneschi; Marco Matucci-Cerinic
Journal:  Int J Mol Sci       Date:  2019-12-07       Impact factor: 5.923

6.  Serum TARC Levels in Patients with Systemic Sclerosis: Clinical Association with Interstitial Lung Disease.

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7.  Elevated levels of inflammatory plasma biomarkers are associated with risk of HIV infection.

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8.  Impact of Human Cytomegalovirus and Human Herpesvirus 6 Infection on the Expression of Factors Associated with Cell Fibrosis and Apoptosis: Clues for Implication in Systemic Sclerosis Development.

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Journal:  Int J Mol Sci       Date:  2020-09-03       Impact factor: 5.923

9.  Muscle Damage in Systemic Sclerosis and CXCL10: The Potential Therapeutic Role of PDE5 Inhibition.

Authors:  Clarissa Corinaldesi; Rebecca L Ross; Giuseppina Abignano; Cristina Antinozzi; Francesco Marampon; Luigi di Luigi; Maya H Buch; Valeria Riccieri; Andrea Lenzi; Clara Crescioli; Francesco Del Galdo
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10.  Sildenafil Counteracts the In Vitro Activation of CXCL-9, CXCL-10 and CXCL-11/CXCR3 Axis Induced by Reactive Oxygen Species in Scleroderma Fibroblasts.

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