Circulating lung biomarkers in idiopathic lung fibrosis and interstitial lung diseases associated with connective tissue diseases: Where do we stand?

•ctd-ild and ipf share common biomarkers suggesting common pathways.•KL-6, SP-D and MMP7 are sensitive but not specific to diagnose lung fibrosis in IPF.•KL-6, SP-D and CCL18 are sensitive but not specific for SSc-ILD diagnosis.•KL-6 is the most sensitive circulating biomarker for diagnosis.•KL-6 an...

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Published inSeminars in arthritis and rheumatism Vol. 50; no. 3; pp. 480 - 491
Main Authors Elhai, Muriel, Avouac, Jérôme, Allanore, Yannick
Format Journal Article
LanguageEnglish
Published United States Elsevier Inc 01.06.2020
WB Saunders
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Abstract •ctd-ild and ipf share common biomarkers suggesting common pathways.•KL-6, SP-D and MMP7 are sensitive but not specific to diagnose lung fibrosis in IPF.•KL-6, SP-D and CCL18 are sensitive but not specific for SSc-ILD diagnosis.•KL-6 is the most sensitive circulating biomarker for diagnosis.•KL-6 and CCL18 can predict lung involvement worsening in IPF and SSc-ILD. Interstitial lung diseases (ILDs) are complex diseases with various courses where personalized medicine is highly expected. Biomarkers are indicators of physiological, pathological processes or of pharmacological response to therapeutic interventions. They can be used for diagnosis, risk-stratification, prediction and monitoring of treatment response. To better delineate the input and pitfalls of biomarkers in ILDs, we performed a systematic review and meta-analysis of literature in MEDLINE and Embase databases from January 1960 to February 2019. We focused on circulating biomarkers as having the highest generalizability. Overall, 70 studies were included in the review and 20 studies could be included in the meta-analysis. This review highlights that ILD associated with connective tissue diseases (CTD-ILD) and idiopathic pulmonary fibrosis (IPF) share common biomarkers, suggesting common pathophysiological pathways. KL-6 and SP-D, could diagnose lung fibrosis in both IPF and CTD-ILD, with KL-6 having the strongest value (OR: 520.95[110.07–2465.58], p<0.001 in IPF and OR:26.43[7.15–97.68], p<0.001 in CTD-ILD), followed by SPD (OR: 33.81[3.20–357.52], p = 0.003 in IPF and 13.24 [3.84–45.71] in SSc-ILD), MMP7 appeared as interesting for IPF diagnosis (p<0.001), whereas in SSc, CCL18 was associated with ILD diagnosis. Both CCL18 and KL-6 were predictive for the outcomes of ILDs, with higher predictive values for CCL18 in both IPF (OR:10.22[4.72–22.16], p<0.001 and in SSc [2.62[1.71–4.03], p<0.001). However, disease specific biomarkers are lacking and large longitudinal studies are needed before the translational use of the potential biomarkers in clinical practice. With the recent availability of new effective therapies in ILDs, further studies should assess response to treatment.
AbstractList Interstitial lung diseases (ILDs) are complex diseases with various courses where personalized medicine is highly expected. Biomarkers are indicators of physiological, pathological processes or of pharmacological response to therapeutic interventions. They can be used for diagnosis, risk-stratification, prediction and monitoring of treatment response. To better delineate the input and pitfalls of biomarkers in ILDs, we performed a systematic review and meta-analysis of literature in MEDLINE and Embase databases from January 1960 to February 2019. We focused on circulating biomarkers as having the highest generalizability. Overall, 70 studies were included in the review and 20 studies could be included in the meta-analysis. This review highlights that ILD associated with connective tissue diseases (CTD-ILD) and idiopathic pulmonary fibrosis (IPF) share common biomarkers, suggesting common pathophysiological pathways. KL-6 and SP-D, could diagnose lung fibrosis in both IPF and CTD-ILD, with KL-6 having the strongest value (OR: 520.95[110.07-2465.58], p<0.001 in IPF and OR:26.43[7.15-97.68], p<0.001 in CTD-ILD), followed by SPD (OR: 33.81[3.20-357.52], p = 0.003 in IPF and 13.24 [3.84-45.71] in SSc-ILD), MMP7 appeared as interesting for IPF diagnosis (p<0.001), whereas in SSc, CCL18 was associated with ILD diagnosis. Both CCL18 and KL-6 were predictive for the outcomes of ILDs, with higher predictive values for CCL18 in both IPF (OR:10.22[4.72-22.16], p<0.001 and in SSc [2.62[1.71-4.03], p<0.001). However, disease specific biomarkers are lacking and large longitudinal studies are needed before the translational use of the potential biomarkers in clinical practice. With the recent availability of new effective therapies in ILDs, further studies should assess response to treatment.
Interstitial lung diseases (ILDs) are complex diseases with various courses where personalized medicine is highly expected. Biomarkers are indicators of physiological, pathological processes or of pharmacological response to therapeutic interventions. They can be used for diagnosis, risk-stratification, prediction and monitoring of treatment response. To better delineate the input and pitfalls of biomarkers in ILDs, we performed a systematic review and meta-analysis of literature in MEDLINE and Embase databases from January 1960 to February 2019. We focused on circulating biomarkers as having the highest generalizability. Overall, 70 studies were included in the review and 20 studies could be included in the meta-analysis. This review highlights that ILD associated with connective tissue diseases (CTD-ILD) and idiopathic pulmonary fibrosis (IPF) share common biomarkers, suggesting common pathophysiological pathways. KL-6 and SP-D, could diagnose lung fibrosis in both IPF and CTD-ILD, with KL-6 having the strongest value (OR: 520.95[110.07-2465.58], p<0.001 in IPF and OR:26.43[7.15-97.68], p<0.001 in CTD-ILD), followed by SPD (OR: 33.81[3.20-357.52], p = 0.003 in IPF and 13.24 [3.84-45.71] in SSc-ILD), MMP7 appeared as interesting for IPF diagnosis (p<0.001), whereas in SSc, CCL18 was associated with ILD diagnosis. Both CCL18 and KL-6 were predictive for the outcomes of ILDs, with higher predictive values for CCL18 in both IPF (OR:10.22[4.72-22.16], p<0.001 and in SSc [2.62[1.71-4.03], p<0.001). However, disease specific biomarkers are lacking and large longitudinal studies are needed before the translational use of the potential biomarkers in clinical practice. With the recent availability of new effective therapies in ILDs, further studies should assess response to treatment.Interstitial lung diseases (ILDs) are complex diseases with various courses where personalized medicine is highly expected. Biomarkers are indicators of physiological, pathological processes or of pharmacological response to therapeutic interventions. They can be used for diagnosis, risk-stratification, prediction and monitoring of treatment response. To better delineate the input and pitfalls of biomarkers in ILDs, we performed a systematic review and meta-analysis of literature in MEDLINE and Embase databases from January 1960 to February 2019. We focused on circulating biomarkers as having the highest generalizability. Overall, 70 studies were included in the review and 20 studies could be included in the meta-analysis. This review highlights that ILD associated with connective tissue diseases (CTD-ILD) and idiopathic pulmonary fibrosis (IPF) share common biomarkers, suggesting common pathophysiological pathways. KL-6 and SP-D, could diagnose lung fibrosis in both IPF and CTD-ILD, with KL-6 having the strongest value (OR: 520.95[110.07-2465.58], p<0.001 in IPF and OR:26.43[7.15-97.68], p<0.001 in CTD-ILD), followed by SPD (OR: 33.81[3.20-357.52], p = 0.003 in IPF and 13.24 [3.84-45.71] in SSc-ILD), MMP7 appeared as interesting for IPF diagnosis (p<0.001), whereas in SSc, CCL18 was associated with ILD diagnosis. Both CCL18 and KL-6 were predictive for the outcomes of ILDs, with higher predictive values for CCL18 in both IPF (OR:10.22[4.72-22.16], p<0.001 and in SSc [2.62[1.71-4.03], p<0.001). However, disease specific biomarkers are lacking and large longitudinal studies are needed before the translational use of the potential biomarkers in clinical practice. With the recent availability of new effective therapies in ILDs, further studies should assess response to treatment.
•ctd-ild and ipf share common biomarkers suggesting common pathways.•KL-6, SP-D and MMP7 are sensitive but not specific to diagnose lung fibrosis in IPF.•KL-6, SP-D and CCL18 are sensitive but not specific for SSc-ILD diagnosis.•KL-6 is the most sensitive circulating biomarker for diagnosis.•KL-6 and CCL18 can predict lung involvement worsening in IPF and SSc-ILD. Interstitial lung diseases (ILDs) are complex diseases with various courses where personalized medicine is highly expected. Biomarkers are indicators of physiological, pathological processes or of pharmacological response to therapeutic interventions. They can be used for diagnosis, risk-stratification, prediction and monitoring of treatment response. To better delineate the input and pitfalls of biomarkers in ILDs, we performed a systematic review and meta-analysis of literature in MEDLINE and Embase databases from January 1960 to February 2019. We focused on circulating biomarkers as having the highest generalizability. Overall, 70 studies were included in the review and 20 studies could be included in the meta-analysis. This review highlights that ILD associated with connective tissue diseases (CTD-ILD) and idiopathic pulmonary fibrosis (IPF) share common biomarkers, suggesting common pathophysiological pathways. KL-6 and SP-D, could diagnose lung fibrosis in both IPF and CTD-ILD, with KL-6 having the strongest value (OR: 520.95[110.07–2465.58], p<0.001 in IPF and OR:26.43[7.15–97.68], p<0.001 in CTD-ILD), followed by SPD (OR: 33.81[3.20–357.52], p = 0.003 in IPF and 13.24 [3.84–45.71] in SSc-ILD), MMP7 appeared as interesting for IPF diagnosis (p<0.001), whereas in SSc, CCL18 was associated with ILD diagnosis. Both CCL18 and KL-6 were predictive for the outcomes of ILDs, with higher predictive values for CCL18 in both IPF (OR:10.22[4.72–22.16], p<0.001 and in SSc [2.62[1.71–4.03], p<0.001). However, disease specific biomarkers are lacking and large longitudinal studies are needed before the translational use of the potential biomarkers in clinical practice. With the recent availability of new effective therapies in ILDs, further studies should assess response to treatment.
Author Elhai, Muriel
Allanore, Yannick
Avouac, Jérôme
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  email: yannick.allanore@aphp.fr
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Issue 3
Keywords Biomarker
Interstitial lung disease
Rheumatoid arthritis
Systemic sclerosis
Idiopathic pulmonary fibrosis
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PublicationTitle Seminars in arthritis and rheumatism
PublicationTitleAlternate Semin Arthritis Rheum
PublicationYear 2020
Publisher Elsevier Inc
WB Saunders
Publisher_xml – name: Elsevier Inc
– name: WB Saunders
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Snippet •ctd-ild and ipf share common biomarkers suggesting common pathways.•KL-6, SP-D and MMP7 are sensitive but not specific to diagnose lung fibrosis in IPF.•KL-6,...
Interstitial lung diseases (ILDs) are complex diseases with various courses where personalized medicine is highly expected. Biomarkers are indicators of...
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SubjectTerms Aged
Biomarker
Biomarkers - blood
Chemokines, CC - blood
Connective Tissue Diseases - complications
Female
Humans
Idiopathic pulmonary fibrosis
Idiopathic Pulmonary Fibrosis - blood
Idiopathic Pulmonary Fibrosis - diagnosis
Idiopathic Pulmonary Fibrosis - etiology
Interstitial lung disease
Life Sciences
Lung Diseases, Interstitial - blood
Lung Diseases, Interstitial - diagnosis
Lung Diseases, Interstitial - etiology
Male
Mucin-1 - blood
Rheumatoid arthritis
Systemic sclerosis
Title Circulating lung biomarkers in idiopathic lung fibrosis and interstitial lung diseases associated with connective tissue diseases: Where do we stand?
URI https://www.clinicalkey.com/#!/content/1-s2.0-S0049017220300068
https://dx.doi.org/10.1016/j.semarthrit.2020.01.006
https://www.ncbi.nlm.nih.gov/pubmed/32089354
https://www.proquest.com/docview/2363074085
https://hal.science/hal-03490265
Volume 50
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