Increased monocyte count as a cellular biomarker for poor outcomes in fibrotic diseases: a retrospective, multicentre cohort study.


Journal

The Lancet. Respiratory medicine
ISSN: 2213-2619
Titre abrégé: Lancet Respir Med
Pays: England
ID NLM: 101605555

Informations de publication

Date de publication:
06 2019
Historique:
received: 20 03 2018
revised: 14 11 2018
accepted: 27 11 2018
pubmed: 3 4 2019
medline: 25 4 2020
entrez: 3 4 2019
Statut: ppublish

Résumé

There is an urgent need for biomarkers to better stratify patients with idiopathic pulmonary fibrosis by risk for lung transplantation allocation who have the same clinical presentation. We aimed to investigate whether a specific immune cell type from patients with idiopathic pulmonary fibrosis could identify those at higher risk of poor outcomes. We then sought to validate our findings using cytometry and electronic health records. We first did a discovery analysis with transcriptome data from the Gene Expression Omnibus at the National Center for Biotechnology Information for 120 peripheral blood mononuclear cell (PBMC) samples of patients with idiopathic pulmonary fibrosis. We estimated percentages of 13 immune cell types using statistical deconvolution, and investigated the association of these cell types with transplant-free survival. We validated these results using PBMC samples from patients with idiopathic pulmonary fibrosis in two independent cohorts (COMET and Yale). COMET profiled monocyte counts in 45 patients with idiopathic pulmonary fibrosis from March 12, 2010, to March 10, 2011, using flow cytometry; we tested if increased monocyte count was associated with the primary outcome of disease progression. In the Yale cohort, 15 patients with idiopathic pulmonary fibrosis (with five healthy controls) were classed as high risk or low risk from April 28, 2014, to Aug 20, 2015, using a 52-gene signature, and we assessed whether monocyte percentage (measured by cytometry by time of flight) was higher in high-risk patients. We then examined complete blood count values in the electronic health records (EHR) of 45 068 patients with idiopathic pulmonary fibrosis, systemic sclerosis, hypertrophic cardiomyopathy, or myelofibrosis from Stanford (Jan 01, 2008, to Dec 31, 2015), Northwestern (Feb 15, 2001 to July 31, 2017), Vanderbilt (Jan 01, 2008, to Dec 31, 2016), and Optum Clinformatics DataMart (Jan 01, 2004, to Dec 31, 2016) cohorts, and examined whether absolute monocyte counts of 0·95 K/μL or greater were associated with all-cause mortality in these patients. In the discovery analysis, estimated CD14+ classical monocyte percentages above the mean were associated with shorter transplant-free survival times (hazard ratio [HR] 1·82, 95% CI 1·05-3·14), whereas higher percentages of T cells and B cells were not (0·97, 0·59-1·66; and 0·78, 0·45-1·34 respectively). In two validation cohorts (COMET trial and the Yale cohort), patients with higher monocyte counts were at higher risk for poor outcomes (COMET Wilcoxon p=0·025; Yale Wilcoxon p=0·049). Monocyte counts of 0·95 K/μL or greater were associated with mortality after adjusting for forced vital capacity (HR 2·47, 95% CI 1·48-4·15; p=0·0063), and the gender, age, and physiology index (HR 2·06, 95% CI 1·22-3·47; p=0·0068) across the COMET, Stanford, and Northwestern datasets). Analysis of medical records of 7459 patients with idiopathic pulmonary fibrosis showed that patients with monocyte counts of 0·95 K/μL or greater were at increased risk of mortality with lung transplantation as a censoring event, after adjusting for age at diagnosis and sex (Stanford HR=2·30, 95% CI 0·94-5·63; Vanderbilt 1·52, 1·21-1·89; Optum 1·74, 1·33-2·27). Likewise, higher absolute monocyte count was associated with shortened survival in patients with hypertrophic cardiomyopathy across all three cohorts, and in patients with systemic sclerosis or myelofibrosis in two of the three cohorts. Monocyte count could be incorporated into the clinical assessment of patients with idiopathic pulmonary fibrosis and other fibrotic disorders. Further investigation into the mechanistic role of monocytes in fibrosis might lead to insights that assist the development of new therapies. Bill & Melinda Gates Foundation, US National Institute of Allergy and Infectious Diseases, and US National Library of Medicine.

Sections du résumé

BACKGROUND
There is an urgent need for biomarkers to better stratify patients with idiopathic pulmonary fibrosis by risk for lung transplantation allocation who have the same clinical presentation. We aimed to investigate whether a specific immune cell type from patients with idiopathic pulmonary fibrosis could identify those at higher risk of poor outcomes. We then sought to validate our findings using cytometry and electronic health records.
METHODS
We first did a discovery analysis with transcriptome data from the Gene Expression Omnibus at the National Center for Biotechnology Information for 120 peripheral blood mononuclear cell (PBMC) samples of patients with idiopathic pulmonary fibrosis. We estimated percentages of 13 immune cell types using statistical deconvolution, and investigated the association of these cell types with transplant-free survival. We validated these results using PBMC samples from patients with idiopathic pulmonary fibrosis in two independent cohorts (COMET and Yale). COMET profiled monocyte counts in 45 patients with idiopathic pulmonary fibrosis from March 12, 2010, to March 10, 2011, using flow cytometry; we tested if increased monocyte count was associated with the primary outcome of disease progression. In the Yale cohort, 15 patients with idiopathic pulmonary fibrosis (with five healthy controls) were classed as high risk or low risk from April 28, 2014, to Aug 20, 2015, using a 52-gene signature, and we assessed whether monocyte percentage (measured by cytometry by time of flight) was higher in high-risk patients. We then examined complete blood count values in the electronic health records (EHR) of 45 068 patients with idiopathic pulmonary fibrosis, systemic sclerosis, hypertrophic cardiomyopathy, or myelofibrosis from Stanford (Jan 01, 2008, to Dec 31, 2015), Northwestern (Feb 15, 2001 to July 31, 2017), Vanderbilt (Jan 01, 2008, to Dec 31, 2016), and Optum Clinformatics DataMart (Jan 01, 2004, to Dec 31, 2016) cohorts, and examined whether absolute monocyte counts of 0·95 K/μL or greater were associated with all-cause mortality in these patients.
FINDINGS
In the discovery analysis, estimated CD14+ classical monocyte percentages above the mean were associated with shorter transplant-free survival times (hazard ratio [HR] 1·82, 95% CI 1·05-3·14), whereas higher percentages of T cells and B cells were not (0·97, 0·59-1·66; and 0·78, 0·45-1·34 respectively). In two validation cohorts (COMET trial and the Yale cohort), patients with higher monocyte counts were at higher risk for poor outcomes (COMET Wilcoxon p=0·025; Yale Wilcoxon p=0·049). Monocyte counts of 0·95 K/μL or greater were associated with mortality after adjusting for forced vital capacity (HR 2·47, 95% CI 1·48-4·15; p=0·0063), and the gender, age, and physiology index (HR 2·06, 95% CI 1·22-3·47; p=0·0068) across the COMET, Stanford, and Northwestern datasets). Analysis of medical records of 7459 patients with idiopathic pulmonary fibrosis showed that patients with monocyte counts of 0·95 K/μL or greater were at increased risk of mortality with lung transplantation as a censoring event, after adjusting for age at diagnosis and sex (Stanford HR=2·30, 95% CI 0·94-5·63; Vanderbilt 1·52, 1·21-1·89; Optum 1·74, 1·33-2·27). Likewise, higher absolute monocyte count was associated with shortened survival in patients with hypertrophic cardiomyopathy across all three cohorts, and in patients with systemic sclerosis or myelofibrosis in two of the three cohorts.
INTERPRETATION
Monocyte count could be incorporated into the clinical assessment of patients with idiopathic pulmonary fibrosis and other fibrotic disorders. Further investigation into the mechanistic role of monocytes in fibrosis might lead to insights that assist the development of new therapies.
FUNDING
Bill & Melinda Gates Foundation, US National Institute of Allergy and Infectious Diseases, and US National Library of Medicine.

Identifiants

pubmed: 30935881
pii: S2213-2600(18)30508-3
doi: 10.1016/S2213-2600(18)30508-3
pmc: PMC6529612
pii:
doi:

Substances chimiques

Biomarkers 0

Types de publication

Journal Article Multicenter Study Research Support, N.I.H., Extramural Research Support, Non-U.S. Gov't Validation Study

Langues

eng

Sous-ensembles de citation

IM

Pagination

497-508

Subventions

Organisme : NHLBI NIH HHS
ID : K08 HL130595
Pays : United States
Organisme : NCATS NIH HHS
ID : UL1 TR001863
Pays : United States
Organisme : NIAID NIH HHS
ID : U19 AI057229
Pays : United States
Organisme : NHLBI NIH HHS
ID : R35 HL144481
Pays : United States
Organisme : NIAMS NIH HHS
ID : P30 AR072579
Pays : United States
Organisme : NHLBI NIH HHS
ID : K12 HL120001
Pays : United States
Organisme : NCATS NIH HHS
ID : UL1 TR003142
Pays : United States
Organisme : NHLBI NIH HHS
ID : P01 HL092870
Pays : United States
Organisme : NHLBI NIH HHS
ID : R01 HL127805
Pays : United States
Organisme : NCATS NIH HHS
ID : UL1 TR001422
Pays : United States
Organisme : NLM NIH HHS
ID : R01 LM011369
Pays : United States

Commentaires et corrections

Type : CommentIn

Informations de copyright

Copyright © 2019 The Author(s). Published by Elsevier Ltd. This is an Open Access article under the CC BY 4.0 license. Published by Elsevier Ltd.. All rights reserved.

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Auteurs

Madeleine K D Scott (MKD)

Institute for Immunity, Transplantation, and Infection, Stanford University School of Medicine, Stanford, CA, USA; Division for Biomedical Informatics Research, Department of Medicine, Stanford University School of Medicine, Stanford, CA, USA; Department of Biophysics, Stanford University School of Medicine, Stanford, CA, USA.

Katie Quinn (K)

Division for Biomedical Informatics Research, Department of Medicine, Stanford University School of Medicine, Stanford, CA, USA.

Qin Li (Q)

Section of Pulmonary, Critical Care, and Sleep Medicine, Department of Medicine, Yale School of Medicine, Yale University, New Haven, CT, USA.

Robert Carroll (R)

Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, TN, USA.

Hayley Warsinske (H)

Institute for Immunity, Transplantation, and Infection, Stanford University School of Medicine, Stanford, CA, USA; Division for Biomedical Informatics Research, Department of Medicine, Stanford University School of Medicine, Stanford, CA, USA.

Francesco Vallania (F)

Institute for Immunity, Transplantation, and Infection, Stanford University School of Medicine, Stanford, CA, USA; Division for Biomedical Informatics Research, Department of Medicine, Stanford University School of Medicine, Stanford, CA, USA.

Shirley Chen (S)

Institute for Immunity, Transplantation, and Infection, Stanford University School of Medicine, Stanford, CA, USA; Division for Biomedical Informatics Research, Department of Medicine, Stanford University School of Medicine, Stanford, CA, USA.

Mary A Carns (MA)

Department of Medicine, Division of Rheumatology, Northwestern University Feinberg School of Medicine, Chicago, IL, USA.

Kathleen Aren (K)

Department of Medicine, Division of Rheumatology, Northwestern University Feinberg School of Medicine, Chicago, IL, USA.

Jiehuan Sun (J)

Department of Biostatistics, Yale School of Public Health, Yale University, New Haven, CT, USA.

Kimberly Koloms (K)

Department of Medicine, Division of Rheumatology, Northwestern University Feinberg School of Medicine, Chicago, IL, USA.

Jungwha Lee (J)

Department of Medicine, Division of Rheumatology, Northwestern University Feinberg School of Medicine, Chicago, IL, USA.

Jessika Baral (J)

Institute for Immunity, Transplantation, and Infection, Stanford University School of Medicine, Stanford, CA, USA.

Jonathan Kropski (J)

Division of Allergy, Pulmonary and Critical Care Medicine, Department of Medicine, Vanderbilt University School of Medicine, Nashville, TN, USA.

Hongyu Zhao (H)

Department of Biostatistics, Yale School of Public Health, Yale University, New Haven, CT, USA.

Erica Herzog (E)

Section of Pulmonary, Critical Care, and Sleep Medicine, Department of Medicine, Yale School of Medicine, Yale University, New Haven, CT, USA.

Fernando J Martinez (FJ)

Department of Medicine, Weill Cornell Medical College, Cornell University, New York, NY, USA.

Bethany B Moore (BB)

Department of Internal Medicine, University of Michigan, Ann Arbor, MI, USA.

Monique Hinchcliff (M)

Department of Medicine, Division of Rheumatology, Northwestern University Feinberg School of Medicine, Chicago, IL, USA.

Joshua Denny (J)

Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, TN, USA.

Naftali Kaminski (N)

Section of Pulmonary, Critical Care, and Sleep Medicine, Department of Medicine, Yale School of Medicine, Yale University, New Haven, CT, USA.

Jose D Herazo-Maya (JD)

Section of Pulmonary, Critical Care, and Sleep Medicine, Department of Medicine, Yale School of Medicine, Yale University, New Haven, CT, USA.

Nigam H Shah (NH)

Division for Biomedical Informatics Research, Department of Medicine, Stanford University School of Medicine, Stanford, CA, USA.

Purvesh Khatri (P)

Institute for Immunity, Transplantation, and Infection, Stanford University School of Medicine, Stanford, CA, USA; Division for Biomedical Informatics Research, Department of Medicine, Stanford University School of Medicine, Stanford, CA, USA. Electronic address: pkhatri@stanford.edu.

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