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Pugashetti JV, Kim JS, Combs MP, Ma SF, Adegunsoye A, Linderholm AL, Strek ME, Chen CH, Dilling DF, Whelan TPM, Flaherty KR, Martinez FJ, Noth I, Oldham JM. A multidimensional classifier to support lung transplant referral in patients with pulmonary fibrosis. J Heart Lung Transplant 2024; 43:1174-1182. [PMID: 38556070 DOI: 10.1016/j.healun.2024.03.018] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/25/2023] [Revised: 03/13/2024] [Accepted: 03/25/2024] [Indexed: 04/02/2024] Open
Abstract
BACKGROUND Lung transplantation remains the sole curative option for patients with idiopathic pulmonary fibrosis (IPF), but donor organs remain scarce, and many eligible patients die before transplant. Tools to optimize the timing of transplant referrals are urgently needed. METHODS Least absolute shrinkage and selection operator was applied to clinical and proteomic data generated as part of a prospective cohort study of interstitial lung disease (ILD) to derive clinical, proteomic, and multidimensional logit models of near-term death or lung transplant within 18 months of blood draw. Model-fitted values were dichotomized at the point of maximal sensitivity and specificity, and decision curve analysis was used to select the best-performing classifier. We then applied this classifier to independent IPF and non-IPF ILD cohorts to determine test performance characteristics. Cohorts were restricted to patients aged ≤72 years with body mass index 18 to 32 to increase the likelihood of transplant eligibility. RESULTS IPF derivation, IPF validation, and non-IPF ILD validation cohorts consisted of 314, 105, and 295 patients, respectively. A multidimensional model comprising 2 clinical variables and 20 proteins outperformed stand-alone clinical and proteomic models. Following dichotomization, the multidimensional classifier predicted near-term outcome with 70% sensitivity and 92% specificity in the IPF validation cohort and 70% sensitivity and 80% specificity in the non-IPF ILD validation cohort. CONCLUSIONS A multidimensional classifier of near-term outcomes accurately discriminated this end-point with good test performance across independent IPF and non-IPF ILD cohorts. These findings support refinement and prospective validation of this classifier in transplant-eligible individuals.
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Affiliation(s)
- Janelle Vu Pugashetti
- Division of Pulmonary and Critical Care Medicine, University of Michigan, Ann Arbor, Michigan
| | - John S Kim
- Division of Pulmonary and Critical Care Medicine, University of Virginia, Charlottesville, Virginia
| | - Michael P Combs
- Division of Pulmonary and Critical Care Medicine, University of Michigan, Ann Arbor, Michigan
| | - Shwu-Fan Ma
- Division of Pulmonary and Critical Care Medicine, University of Virginia, Charlottesville, Virginia
| | - Ayodeji Adegunsoye
- Section of Pulmonary and Critical Care Medicine, University of Chicago, Chicago, Illinois
| | - Angela L Linderholm
- Department of Internal Medicine, University of California Davis, Davis, California
| | - Mary E Strek
- Section of Pulmonary and Critical Care Medicine, University of Chicago, Chicago, Illinois
| | - Ching-Hsien Chen
- Department of Internal Medicine, University of California Davis, Davis, California
| | - Daniel F Dilling
- Division of Pulmonary and Critical Care Medicine, Loyola University Chicago, Stritch School of Medicine, Chicago, Illinois
| | - Timothy P M Whelan
- Division of Pulmonary and Critical Care, Medical University of South Carolina, Charleston, South Carolina; Pulmonary Fibrosis Foundation, Chicago, Illinois
| | - Kevin R Flaherty
- Division of Pulmonary and Critical Care Medicine, University of Michigan, Ann Arbor, Michigan; Pulmonary Fibrosis Foundation, Chicago, Illinois
| | - Fernando J Martinez
- Division of Pulmonary and Critical Care, Weill Cornell Medical Center, New York, New York
| | - Imre Noth
- Division of Pulmonary and Critical Care Medicine, University of Virginia, Charlottesville, Virginia
| | - Justin M Oldham
- Division of Pulmonary and Critical Care Medicine, University of Michigan, Ann Arbor, Michigan; Department of Epidemiology, University of Michigan, Ann Arbor, Michigan.
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Lin Z, Shi YY, Yu LY, Ma CX, Pan SY, Dou Y, Zhou QJ, Cao Y. Metabolic dysfunction associated steatotic liver disease in patients with plaque psoriasis: a case-control study and serological comparison. Front Med (Lausanne) 2024; 11:1400741. [PMID: 38813379 PMCID: PMC11133595 DOI: 10.3389/fmed.2024.1400741] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/14/2024] [Accepted: 04/29/2024] [Indexed: 05/31/2024] Open
Abstract
Background The relationship between plaque psoriasis and both MASLD and lean MASLD has not been sufficiently explored in the current literature. Method This retrospective and observational study was carried out from January 2021 to January 2023 at The First Affiliated Hospital of Zhejiang Chinese Medical University. Patients diagnosed with plaque psoriasis and a control group consisting of individuals undergoing routine physical examinations were enrolled. The incidence of MASLD and lean MASLD among these groups was compared. Additionally, patients with plaque psoriasis were divided into those with MASLD, those with lean MASLD, and a control group with only psoriasis for a serological comparative analysis. Results The incidence of MASLD in the observation group and the control group was 43.67% (69/158) and 22.15% (35/158), respectively (p < 0.01). Furthermore, the incidence of lean MASLD within the observation group and the control group was 10.76% (17/158) and 4.43% (7/158), respectively (p < 0.01). After controlling for potential confounding variables, plaque psoriasis was identified as an independent risk factor for MASLD with an odds ratio of 1.88 (95% cl: 1.10-3.21). In terms of serological comparison, compared to the simple psoriasis group, we observed a significant elevation in the tumor marker CYFRA21-1 levels in both groups compared to the control group with simple psoriasis (p < 0.01). Moreover, the MASLD group exhibited elevated levels of inflammatory markers and psoriasis score, whereas these effects were mitigated in the lean MASLD group. Conclusion The prevalence of MASLD and lean MASLD is higher among patients with psoriasis. Those suffering from psoriasis along with MASLD show increased psoriasis scores and inflammatory markers compared to those without metabolic disorders. MASLD likely worsens psoriasis conditions, indicating the necessity of targeted health education for affected individuals to reduce the risk of MASLD, this education should include guidelines on exercise and diet. In serological assessments, elevated levels of cytokeratin 19 fragment (CYFRA21-1) were noted in both MASLD and lean MASLD groups, implying a potential synergistic role between psoriasis and MASLD.
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Affiliation(s)
- Zheng Lin
- First Clinical Medical College of Zhejiang Chinese Medical University, Hangzhou, Zhejiang, China
| | - Yue-yi Shi
- First Clinical Medical College of Zhejiang Chinese Medical University, Hangzhou, Zhejiang, China
| | - Lu-yan Yu
- First Clinical Medical College of Zhejiang Chinese Medical University, Hangzhou, Zhejiang, China
| | - Chen-xi Ma
- First Clinical Medical College of Zhejiang Chinese Medical University, Hangzhou, Zhejiang, China
| | - Si-yi Pan
- First Clinical Medical College of Zhejiang Chinese Medical University, Hangzhou, Zhejiang, China
| | - Yuan Dou
- First Clinical Medical College of Zhejiang Chinese Medical University, Hangzhou, Zhejiang, China
| | - Qiu-jun Zhou
- First Clinical Medical College of Zhejiang Chinese Medical University, Hangzhou, Zhejiang, China
| | - Yi Cao
- The First Affiliated Hospital of Zhejiang Chinese Medical University, Hangzhou, Zhejiang, China
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3
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Oldham JM, Huang Y, Bose S, Ma SF, Kim JS, Schwab A, Ting C, Mou K, Lee CT, Adegunsoye A, Ghodrati S, Pugashetti JV, Nazemi N, Strek ME, Linderholm AL, Chen CH, Murray S, Zemans RL, Flaherty KR, Martinez FJ, Noth I. Proteomic Biomarkers of Survival in Idiopathic Pulmonary Fibrosis. Am J Respir Crit Care Med 2024; 209:1111-1120. [PMID: 37847691 PMCID: PMC11092951 DOI: 10.1164/rccm.202301-0117oc] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/18/2023] [Accepted: 10/16/2023] [Indexed: 10/19/2023] Open
Abstract
Rationale: Idiopathic pulmonary fibrosis (IPF) causes progressive lung scarring and high mortality. Reliable and accurate prognostic biomarkers are urgently needed. Objectives: To identify and validate circulating protein biomarkers of IPF survival. Methods: High-throughput proteomic data were generated using prospectively collected plasma samples from patients with IPF from the Pulmonary Fibrosis Foundation Patient Registry (discovery cohort) and the Universities of California, Davis; Chicago; and Virginia (validation cohort). Proteins associated with three-year transplant-free survival (TFS) were identified using multivariable Cox proportional hazards regression. Those associated with TFS after adjustment for false discovery in the discovery cohort were advanced for testing in the validation cohort, with proteins maintaining TFS association with consistent effect direction considered validated. After combining cohorts, functional analyses were performed, and machine learning was used to derive a proteomic signature of TFS. Measurements and Main Results: Of 2,921 proteins tested in the discovery cohort (n = 871), 231 were associated with differential TFS. Of these, 140 maintained TFS association with consistent effect direction in the validation cohort (n = 355). After cohorts were combined, the validated proteins with the strongest TFS association were latent-transforming growth factor β-binding protein 2 (hazard ratio [HR], 2.43; 95% confidence interval [CI] = 2.09-2.82), collagen α-1(XXIV) chain (HR, 2.21; 95% CI = 1.86-2.39), and keratin 19 (HR, 1.60; 95% CI = 1.47-1.74). In decision curve analysis, a proteomic signature of TFS outperformed a similarly derived clinical prediction model. Conclusions: In the largest proteomic investigation of IPF outcomes performed to date, we identified and validated 140 protein biomarkers of TFS. These results shed important light on potential drivers of IPF progression.
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Affiliation(s)
- Justin M. Oldham
- Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine
- Department of Epidemiology, and
| | - Yong Huang
- Division of Pulmonary and Critical Care Medicine, University of Virginia, Charlottesville, Virginia
| | - Swaraj Bose
- Department of Biostatistics, University of Michigan, Ann Arbor, Michigan
| | - Shwu-Fan Ma
- Division of Pulmonary and Critical Care Medicine, University of Virginia, Charlottesville, Virginia
| | - John S. Kim
- Division of Pulmonary and Critical Care Medicine, University of Virginia, Charlottesville, Virginia
| | - Alexandra Schwab
- Division of Pulmonary and Critical Care Medicine, University of Virginia, Charlottesville, Virginia
| | - Christopher Ting
- Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine
| | - Kaniz Mou
- Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine
| | - Cathryn T. Lee
- Section of Pulmonary and Critical Care Medicine, University of Chicago, Chicago, Illinois
| | - Ayodeji Adegunsoye
- Section of Pulmonary and Critical Care Medicine, University of Chicago, Chicago, Illinois
| | - Sahand Ghodrati
- Division of Pulmonary, Critical Care and Sleep Medicine, University of California, Davis, Davis, California
| | | | - Nazanin Nazemi
- Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine
| | - Mary E. Strek
- Section of Pulmonary and Critical Care Medicine, University of Chicago, Chicago, Illinois
| | - Angela L. Linderholm
- Division of Pulmonary, Critical Care and Sleep Medicine, University of California, Davis, Davis, California
| | - Ching-Hsien Chen
- Division of Pulmonary, Critical Care and Sleep Medicine, University of California, Davis, Davis, California
| | - Susan Murray
- Department of Biostatistics, University of Michigan, Ann Arbor, Michigan
| | - Rachel L. Zemans
- Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine
| | - Kevin R. Flaherty
- Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine
- Pulmonary Fibrosis Foundation, Chicago, Illinois; and
| | | | - Imre Noth
- Division of Pulmonary and Critical Care Medicine, University of Virginia, Charlottesville, Virginia
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4
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Lee JS, Maher TM. Gazing into the Proteomic Crystal Ball: Predicting Survival in Idiopathic Pulmonary Fibrosis. Am J Respir Crit Care Med 2024; 209:1056-1057. [PMID: 38117693 PMCID: PMC11092944 DOI: 10.1164/rccm.202311-2108ed] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/17/2023] [Accepted: 12/20/2023] [Indexed: 12/22/2023] Open
Affiliation(s)
- Joyce S Lee
- University of Colorado Denver Anschutz Medical Campus Aurora, Colorado
| | - Toby M Maher
- Keck School of Medicine University of Southern California Los Angeles, California
- National Heart and Lung Institute Imperial College London London, United Kingdom
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5
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Raghu G, Ghazipura M, Fleming TR, Aronson KI, Behr J, Brown KK, Flaherty KR, Kazerooni EA, Maher TM, Richeldi L, Lasky JA, Swigris JJ, Busch R, Garrard L, Ahn DH, Li J, Puthawala K, Rodal G, Seymour S, Weir N, Danoff SK, Ettinger N, Goldin J, Glassberg MK, Kawano-Dourado L, Khalil N, Lancaster L, Lynch DA, Mageto Y, Noth I, Shore JE, Wijsenbeek M, Brown R, Grogan D, Ivey D, Golinska P, Karimi-Shah B, Martinez FJ. Meaningful Endpoints for Idiopathic Pulmonary Fibrosis (IPF) Clinical Trials: Emphasis on 'Feels, Functions, Survives'. Report of a Collaborative Discussion in a Symposium with Direct Engagement from Representatives of Patients, Investigators, the National Institutes of Health, a Patient Advocacy Organization, and a Regulatory Agency. Am J Respir Crit Care Med 2024; 209:647-669. [PMID: 38174955 DOI: 10.1164/rccm.202312-2213so] [Citation(s) in RCA: 9] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/04/2023] [Accepted: 01/02/2024] [Indexed: 01/05/2024] Open
Abstract
Background: Idiopathic pulmonary fibrosis (IPF) carries significant mortality and unpredictable progression, with limited therapeutic options. Designing trials with patient-meaningful endpoints, enhancing the reliability and interpretability of results, and streamlining the regulatory approval process are of critical importance to advancing clinical care in IPF. Methods: A landmark in-person symposium in June 2023 assembled 43 participants from the US and internationally, including patients with IPF, investigators, and regulatory representatives, to discuss the immediate future of IPF clinical trial endpoints. Patient advocates were central to discussions, which evaluated endpoints according to regulatory standards and the FDA's 'feels, functions, survives' criteria. Results: Three themes emerged: 1) consensus on endpoints mirroring the lived experiences of patients with IPF; 2) consideration of replacing forced vital capacity (FVC) as the primary endpoint, potentially by composite endpoints that include 'feels, functions, survives' measures or FVC as components; 3) support for simplified, user-friendly patient-reported outcomes (PROs) as either components of primary composite endpoints or key secondary endpoints, supplemented by functional tests as secondary endpoints and novel biomarkers as supportive measures (FDA Guidance for Industry (Multiple Endpoints in Clinical Trials) available at: https://www.fda.gov/media/162416/download). Conclusions: This report, detailing the proceedings of this pivotal symposium, suggests a potential turning point in designing future IPF clinical trials more attuned to outcomes meaningful to patients, and documents the collective agreement across multidisciplinary stakeholders on the importance of anchoring IPF trial endpoints on real patient experiences-namely, how they feel, function, and survive. There is considerable optimism that clinical care in IPF will progress through trials focused on patient-centric insights, ultimately guiding transformative treatment strategies to enhance patients' quality of life and survival.
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Affiliation(s)
- Ganesh Raghu
- Center for Interstitial Lung Diseases, Division of Pulmonary, Critical Care, and Sleep Medicine, Department of Medicine
- Department of Laboratory Medicine and Pathology, and
| | - Marya Ghazipura
- ZS Associates, Global Health Economics and Outcomes Research, New York, New York
- Division of Epidemiology and
- Division of Biostatistics, Department of Population Health, New York University Langone Health, New York, New York
| | - Thomas R Fleming
- Department of Biostatistics, University of Washington, Seattle, Washington
| | - Kerri I Aronson
- Division of Pulmonary and Critical Care Medicine, Department of Medicine, Weill Cornell Medicine, New York, New York
| | - Jürgen Behr
- Department of Medicine V, LMU University Hospital, Ludwig-Maximilians-University Munich, Member of the German Center for Lung Research, Munich, Germany
| | | | - Kevin R Flaherty
- Division of Pulmonary and Critical Care, Department of Internal Medicine, University of Michigan, Ann Arbor, Michigan
| | - Ella A Kazerooni
- Division of Pulmonary and Critical Care, Department of Internal Medicine, University of Michigan, Ann Arbor, Michigan
- Division of Cardiothoracic Radiology, Department of Radiology, University of Michigan Health System, Detroit, Michigan
| | - Toby M Maher
- Department of Medicine, Keck School of Medicine, University of Southern California, Los Angeles, California
| | - Luca Richeldi
- Divisione di Medicina Polmonare, Fondazione Policlinico Universitario A. Gemelli IRCCS, Università Cattolica del Sacro Cuore, Rome, Italy
| | - Joseph A Lasky
- Department of Medicine, Tulane University, New Orleans, Louisiana
| | | | - Robert Busch
- Division of Pulmonology, Allergy, and Critical Care, Office of Immunology and Inflammation, and
| | - Lili Garrard
- Division of Biometrics III, Office of Biostatistics, Office of Translational Sciences, Center for Drug Evaluation and Research, and
| | - Dong-Hyun Ahn
- Division of Biometrics III, Office of Biostatistics, Office of Translational Sciences, Center for Drug Evaluation and Research, and
| | - Ji Li
- Division of Clinical Outcome Assessment, Office of Drug Evaluation Sciences, Office of New Drugs, and
| | - Khalid Puthawala
- Division of Pulmonology, Allergy, and Critical Care, Office of Immunology and Inflammation, and
| | - Gabriela Rodal
- Office of Product Evaluation and Quality, Center for Devices and Radiological Health, U.S. Food and Drug Administration, Silver Spring, Maryland
| | - Sally Seymour
- Division of Pulmonology, Allergy, and Critical Care, Office of Immunology and Inflammation, and
| | - Nargues Weir
- Office of Product Evaluation and Quality, Center for Devices and Radiological Health, U.S. Food and Drug Administration, Silver Spring, Maryland
| | - Sonye K Danoff
- Division of Pulmonary and Critical Care Medicine, School of Medicine, Johns Hopkins University, Baltimore, Maryland
| | - Neil Ettinger
- Division of Pulmonary Medicine, St. Luke's Hospital, Chesterfield, Missouri
| | - Jonathan Goldin
- Department of Radiology, University of California, Los Angeles, Los Angeles, California
| | - Marilyn K Glassberg
- Department of Medicine, Stritch School of Medicine, Loyola Chicago, Chicago, Illinois
| | - Leticia Kawano-Dourado
- Hcor Research Institute - Hcor Hospital, São Paolo, Brazil
- Pulmonary Division, Heart Institute (InCor), University of São Paulo, São Paulo, Brazil
| | - Nasreen Khalil
- Department of Medicine, University of British Columbia, Vancouver, British Columbia, Canada
| | - Lisa Lancaster
- Division of Pulmonary, Critical Care, and Sleep Medicine, Vanderbilt University, Nashville, Tennessee
| | - David A Lynch
- Department of Radiology, National Jewish Health, Denver, Colorado
| | - Yolanda Mageto
- Division of Pulmonary, Critical Care, and Sleep Medicine, Baylor University, Dallas, Texas
| | - Imre Noth
- Division of Pulmonary and Critical Care Medicine, University of Virginia, Charlottesville, Virginia
| | | | - Marlies Wijsenbeek
- Centre of Interstitial Lung Diseases, Erasmus MC, University Medical Centre, Rotterdam, the Netherlands
| | - Robert Brown
- Patient representative and patient living with IPF, Lovettsville, Virginia
| | - Daniel Grogan
- Patient representative and patient living with IPF, Charlottesville, Virginia; and
| | - Dorothy Ivey
- Patient representative and patient living with IPF, Richmond, Virginia
| | - Patrycja Golinska
- Division of Pulmonary and Critical Care Medicine, Department of Medicine, Weill Cornell Medicine, New York, New York
| | - Banu Karimi-Shah
- Division of Pulmonology, Allergy, and Critical Care, Office of Immunology and Inflammation, and
| | - Fernando J Martinez
- Division of Pulmonary and Critical Care Medicine, Department of Medicine, Weill Cornell Medicine, New York, New York
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6
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Ebert C, Walsh AM, Sereda L, Wilson CL, Schafer PH, Fischer A, Zhao L, Ramirez-Valle F, Gordon D, Schnapp LM. Circulating biomarker analyses in a longitudinal cohort of patients with IPF. Am J Physiol Lung Cell Mol Physiol 2024; 326:L303-L312. [PMID: 38226605 DOI: 10.1152/ajplung.00222.2023] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/17/2023] [Revised: 12/21/2023] [Accepted: 01/05/2024] [Indexed: 01/17/2024] Open
Abstract
Idiopathic pulmonary fibrosis (IPF) is an incurable interstitial lung disease characterized by fibrosis. Two FDA-approved drugs, pirfenidone and nintedanib, only modestly prolong survival. In this study, we asked whether levels of select circulating biomarkers in patients with IPF demonstrated changes in response to treatment over time and whether treatment with pirfenidone and nintedanib led to differential biomarker expression. Serial plasma samples from 48 patients with IPF on usual treatment and six healthy volunteers were analyzed to identify differentially expressed blood protein. Hypothesis-driven potential biomarker selection was based on recent literature, internal preclinical data, and the PROLIFIC Consortium (Schafer P. 6th Annual IPF Summit. Boston, MA, 2022) proposed biomarkers of pulmonary fibrosis. We compared our findings to public databases to provide insights into relevant signaling pathways in IPF. Of the 26 proteins measured, we found that 11 (SP-D, TIMP1, MMP7, CYFRA21-1, YKL40, CA125, sICAM, IP-10, MDC, CXCL13) were significantly elevated in patients with IPF compared with healthy volunteers but their levels did not significantly change over time. In the IPF samples, seven proteins were elevated in the treatment group compared with the no-treatment group. However, protein profiles were not distinguishable between patients on pirfenidone versus nintedanib. We demonstrated that most proteins differentially detected in our samples were predicted to be secreted from the lung epithelial or interstitial compartments. However, a significant minority of the proteins are not known to be transcriptionally expressed by lung cells, suggesting an ongoing systemic response. Understanding the contributions of the systemic response in IPF may be important as new therapeutics are developed.NEW & NOTEWORTHY In this study, we confirmed protein expression differences in only a subset of predicted biomarkers from IPF and control subjects. Most differentially expressed proteins were predicted to be secreted from lung cells. However, a significant minority of the proteins are not known to be transcriptionally expressed by lung cells, suggesting an ongoing systemic response. The contributions of the systemic response in IPF may be important as new therapeutics are developed.
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Affiliation(s)
| | - Alice M Walsh
- Bristol Myers Squibb, Princeton, New Jersey, United States
| | - Larisa Sereda
- Bristol Myers Squibb, Princeton, New Jersey, United States
| | - Carole L Wilson
- Division of Allergy, Pulmonary and Critical Care Medicine, Department of Medicine, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, Wisconsin, United States
- Medical University of South Carolina, Charleston, South Carolina, United States
| | | | - Aryeh Fischer
- Bristol Myers Squibb, Princeton, New Jersey, United States
| | - Lei Zhao
- Bristol Myers Squibb, Princeton, New Jersey, United States
| | | | - David Gordon
- Bristol Myers Squibb, Princeton, New Jersey, United States
| | - Lynn M Schnapp
- Division of Allergy, Pulmonary and Critical Care Medicine, Department of Medicine, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, Wisconsin, United States
- Medical University of South Carolina, Charleston, South Carolina, United States
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7
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Perez-Favila A, Garza-Veloz I, Hernandez-Marquez LDS, Gutierrez-Vela EF, Flores-Morales V, Martinez-Fierro ML. Antifibrotic Drugs against Idiopathic Pulmonary Fibrosis and Pulmonary Fibrosis Induced by COVID-19: Therapeutic Approaches and Potential Diagnostic Biomarkers. Int J Mol Sci 2024; 25:1562. [PMID: 38338840 PMCID: PMC10855955 DOI: 10.3390/ijms25031562] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/30/2023] [Revised: 01/22/2024] [Accepted: 01/24/2024] [Indexed: 02/12/2024] Open
Abstract
The COVID-19 pandemic has had a significant impact on the health and economy of the global population. Even after recovery from the disease, post-COVID-19 symptoms, such as pulmonary fibrosis, continue to be a concern. This narrative review aims to address pulmonary fibrosis (PF) from various perspectives, including the fibrotic mechanisms involved in idiopathic and COVID-19-induced pulmonary fibrosis. On the other hand, we also discuss the current therapeutic drugs in use, as well as those undergoing clinical or preclinical evaluation. Additionally, this article will address various biomarkers with usefulness for PF prediction, diagnosis, treatment, prognosis, and severity assessment in order to provide better treatment strategies for patients with this disease.
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Affiliation(s)
| | | | | | | | | | - Margarita L. Martinez-Fierro
- Doctorado en Ciencias con Orientación en Medicina Molecular, Unidad Académica de Medicina Humana y CS, Universidad Autónoma de Zacatecas, Zacatecas 98160, Mexico; (A.P.-F.); (I.G.-V.); (L.d.S.H.-M.); (E.F.G.-V.); (V.F.-M.)
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8
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Zhu W, Liu C, Tan C, Zhang J. Predictive biomarkers of disease progression in idiopathic pulmonary fibrosis. Heliyon 2024; 10:e23543. [PMID: 38173501 PMCID: PMC10761784 DOI: 10.1016/j.heliyon.2023.e23543] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/19/2023] [Revised: 12/04/2023] [Accepted: 12/06/2023] [Indexed: 01/05/2024] Open
Abstract
Idiopathic pulmonary fibrosis (IPF) is a chronic interstitial disease that cannot be cured, and treatment options for IPF are very limited. Early diagnosis, close monitoring of disease progression, and timely treatment are therefore the best options for patients due to the irreversibility of IPF. Effective markers help doctors judge the development and prognosis of disease. Recent research on traditional biomarkers (KL-6, SP-D, MMP-7, TIMPs, CCL18) has provided novel ideas for predicting disease progression and prognosis. Some emerging biomarkers (HE4, GDF15, PRDX4, inflammatory cells, G-CSF) also provide more possibilities for disease prediction. In addition to markers in serum and bronchoalveolar lavage fluid (BALF), some improvements related to the GAP model and chest HRCT also show good predictive ability for disease prognosis.
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Affiliation(s)
- Weiwei Zhu
- Department of Pulmonary and Critical Care Medicine, Beijing Tiantan Hospital, Capital Medical University, China
| | - Chunquan Liu
- Department of Thoracic Surgery, Beijing Friendship Hospital, Capital Medical University, China
| | - Chunting Tan
- Department of Pulmonary and Critical Care Medicine, Beijing Friendship Hospital, Capital Medical University, China
| | - Jie Zhang
- Department of Pulmonary and Critical Care Medicine, Beijing Tiantan Hospital, Capital Medical University, China
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9
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Ba C, Jiang C, Wang H, Shi X, Jin J, Fang Q. Prognostic value of serum oncomarkers for patients hospitalized with acute exacerbation of interstitial lung disease. Ther Adv Respir Dis 2024; 18:17534666241250332. [PMID: 38757948 PMCID: PMC11102678 DOI: 10.1177/17534666241250332] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/08/2023] [Accepted: 04/11/2024] [Indexed: 05/18/2024] Open
Abstract
BACKGROUND Different types of inflammatory processes and fibrosis have been implicated in the pathogenesis of interstitial lung disease (ILD), a heterogeneous, diffuse, parenchymal lung disease. Acute exacerbation (AE) of ILD is characterized by significant respiratory deterioration and is associated with high mortality rates. Several serum oncomarkers have been used to determine the prognosis of ILD; however, the prognostic value of serum oncomarker levels in patients with AE-ILD remains unclear. OBJECTIVE To evaluate the prognostic value of serum oncomarker levels in patients with AE-ILD and its main subtypes. DESIGN Retrospective study. METHODS The serum levels of 8 oncomarkers in 281 patients hospitalized with AE-ILD at our institution between 2017 and 2022 were retrospectively reviewed. The baseline characteristics and serum oncomarker levels were compared between the survival and non-survival groups of AE-ILD and its main subtypes. Multivariate logistic regression analysis was performed to identify independent prognosis-related markers, and the best prognostic predictor was analyzed using receiver operating characteristic curve (ROC) analysis. RESULT Idiopathic pulmonary fibrosis (IPF; n = 65), idiopathic nonspecific interstitial pneumonia (iNSIP; n = 26), and connective tissue disease-associated interstitial lung disease (CTD-ILD; n = 161) were the three main subtypes of ILD. The in-hospital mortality rate among patients with AE-ILD was 21%. The serum oncomarker levels of most patients with AE-ILD and its main subtypes in the non-survival group were higher than those in the survival group. Multivariate analysis revealed that ferritin and cytokeratin 19 fragments (CYFRA21-1) were independent prognostic risk factors for patients hospitalized with AE-ILD or AE-CTD-ILD. CYFRA21-1 was identified as an independent prognostic risk factor for patients hospitalized with AE-IPF or AE-iNSIP. CONCLUSION CYFRA21-1 may be a viable biomarker for predicting the prognosis of patients with AE-ILD, regardless of the underlying subtype of ILD. Ferritin has a prognostic value in patients with AE-ILD or AE-CTD-ILD.
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Affiliation(s)
- Cuirong Ba
- Department of Respiratory Medicine, Beijing Ditan Hospital, Capital Medical University, China
| | - Chunguo Jiang
- Department of Respiratory and Critical Care Medicine, Beijing Institute of Respiratory Medicine and Beijing Chaoyang Hospital, Capital Medical University, Beijing, China
| | - Huijuan Wang
- Department of Respiratory and Critical Care Medicine, Beijing Institute of Respiratory Medicine and Beijing Chaoyang Hospital, Capital Medical University, Beijing, China
| | - Xuhua Shi
- Department of Immunology and Rheumatology, Beijing Institute of Respiratory Medicine and Beijing Chaoyang Hospital, Capital Medical University, Beijing, China
| | - Jiawei Jin
- Department of Respiratory and Critical Care Medicine, Beijing Institute of Respiratory Medicine and Beijing Chaoyang Hospital, Capital Medical University, Beijing, China
- The Clinical Research Center, Beijing Institute of Respiratory Medicine and Beijing Chaoyang Hospital Jingxi Branch, Capital Medical University, Beijing, China
| | - Qiuhong Fang
- Department of Respiratory and Critical Care Medicine, Beijing Institute of Respiratory Medicine and Beijing Chaoyang Hospital, Capital Medical University, No. 8, Gongren Tiyuchang South Road, Chaoyang District, Beijing 100020, China
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10
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Barnett JL, Maher TM, Quint JK, Adamson A, Wu Z, Smith DJF, Rawal B, Nair A, Walsh SLF, Desai SR, George PM, Kokosi M, Jenkins G, Kouranos V, Renzoni EA, Rice A, Nicholson AG, Chua F, Wells AU, Molyneaux PL, Devaraj A. Combination of BAL and Computed Tomography Differentiates Progressive and Non-progressive Fibrotic Lung Diseases. Am J Respir Crit Care Med 2023; 208:975-982. [PMID: 37672028 DOI: 10.1164/rccm.202305-0796oc] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/02/2023] [Accepted: 09/05/2023] [Indexed: 09/07/2023] Open
Abstract
Rationale: Identifying patients with pulmonary fibrosis (PF) at risk of progression can guide management. Objectives: To explore the utility of combining baseline BAL and computed tomography (CT) in differentiating progressive and nonprogressive PF. Methods: The derivation cohort consisted of incident cases of PF for which BAL was performed as part of a diagnostic workup. A validation cohort was prospectively recruited with identical inclusion criteria. Baseline thoracic CT scans were scored for the extent of fibrosis and usual interstitial pneumonia (UIP) pattern. The BAL lymphocyte proportion was recorded. Annualized FVC decrease of >10% or death within 1 year was used to define disease progression. Multivariable logistic regression identified the determinants of the outcome. The optimum binary thresholds (maximal Wilcoxon rank statistic) at which the extent of fibrosis on CT and the BAL lymphocyte proportion could distinguish disease progression were identified. Measurements and Main Results: BAL lymphocyte proportion, UIP pattern, and fibrosis extent were significantly and independently associated with disease progression in the derivation cohort (n = 240). Binary thresholds for increased BAL lymphocyte proportion and extensive fibrosis were identified as 25% and 20%, respectively. An increased BAL lymphocyte proportion was rare in patients with a UIP pattern (8 of 135; 5.9%) or with extensive fibrosis (7 of 144; 4.9%). In the validation cohort (n = 290), an increased BAL lymphocyte proportion was associated with a significantly lower probability of disease progression in patients with nonextensive fibrosis or a non-UIP pattern. Conclusions: BAL lymphocytosis is rare in patients with extensive fibrosis or a UIP pattern on CT. In patients without a UIP pattern or with limited fibrosis, a BAL lymphocyte proportion of ⩾25% was associated with a lower likelihood of progression.
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Affiliation(s)
- Joseph L Barnett
- Department of Radiology, Royal Free Hospital, London, United Kingdom
| | - Toby M Maher
- Keck School of Medicine, University of Southern California, Los Angeles, California
| | - Jennifer K Quint
- National Heart and Lung Institute, Imperial College, London, United Kingdom
| | - Alex Adamson
- National Heart and Lung Institute, Imperial College, London, United Kingdom
| | - Zhe Wu
- National Heart and Lung Institute, Imperial College, London, United Kingdom
- Interstitial Lung Disease Unit, and
| | - David J F Smith
- National Heart and Lung Institute, Imperial College, London, United Kingdom
- Interstitial Lung Disease Unit, and
| | | | - Arjun Nair
- Department of Radiology, University College Hospital, London, United Kingdom
| | - Simon L F Walsh
- National Heart and Lung Institute, Imperial College, London, United Kingdom
| | - Sujal R Desai
- National Heart and Lung Institute, Imperial College, London, United Kingdom
- Department of Radiology
| | - Peter M George
- National Heart and Lung Institute, Imperial College, London, United Kingdom
- Department of Radiology
| | - Maria Kokosi
- National Heart and Lung Institute, Imperial College, London, United Kingdom
- Interstitial Lung Disease Unit, and
| | - Gisli Jenkins
- National Heart and Lung Institute, Imperial College, London, United Kingdom
- Interstitial Lung Disease Unit, and
| | - Vasilis Kouranos
- National Heart and Lung Institute, Imperial College, London, United Kingdom
- Interstitial Lung Disease Unit, and
| | - Elisabetta A Renzoni
- National Heart and Lung Institute, Imperial College, London, United Kingdom
- Interstitial Lung Disease Unit, and
| | - Alex Rice
- National Heart and Lung Institute, Imperial College, London, United Kingdom
- Department of Histopathology, Royal Brompton Hospital, Guy's and St Thomas' National Health Service Foundation Trust, London, United Kingdom; and
| | - Andrew G Nicholson
- National Heart and Lung Institute, Imperial College, London, United Kingdom
- Department of Histopathology, Royal Brompton Hospital, Guy's and St Thomas' National Health Service Foundation Trust, London, United Kingdom; and
| | - Felix Chua
- National Heart and Lung Institute, Imperial College, London, United Kingdom
- Interstitial Lung Disease Unit, and
| | - Athol U Wells
- National Heart and Lung Institute, Imperial College, London, United Kingdom
- Interstitial Lung Disease Unit, and
| | - Philip L Molyneaux
- National Heart and Lung Institute, Imperial College, London, United Kingdom
- Interstitial Lung Disease Unit, and
| | - Anand Devaraj
- National Heart and Lung Institute, Imperial College, London, United Kingdom
- Department of Radiology
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11
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Yang S, Wang J, Sun D, Wang Y, Xue C, Ye Q. Disease progression in patients with usual interstitial pneumonia and probable UIP patterns on computed tomography with various underlying etiologies: a retrospective cohort study. Front Med (Lausanne) 2023; 10:1246767. [PMID: 37901393 PMCID: PMC10601466 DOI: 10.3389/fmed.2023.1246767] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/24/2023] [Accepted: 10/02/2023] [Indexed: 10/31/2023] Open
Abstract
Background Usual interstitial pneumonia (UIP) is a pattern of interstitial pneumonia that is caused by different etiologies. This study aimed to investigate the transplant-free survival (TFS) and the decline in forced vital capacity (FVC) of the patients with UIP and probable UIP patterns on CT caused by various underlying conditions. Methods A retrospective cohort study was conducted, enrolling patients with interstitial lung disease exhibiting a CT pattern consistent with UIP or probable UIP. Clinical and prognostic data of patients categorized by the etiology were compared. Results A total of 591 patients were included and classified into the following groups: idiopathic pulmonary fibrosis (IPF) (n = 320), connective tissue disease (CTD)-UIP (n = 229), asbestosis-UIP (n = 28), and hypersensitivity pneumonitis (HP)-UIP (n = 14). Advanced age, elevated levels of serum cytokeratin fraction 21-1 and percentage of neutrophils in bronchoalveolar lavage were observed in all groups. IPF patients showed a more rapid decline in FVC (133.9 mL/year) compared to CTD-UIP (24.5 mL/year, p = 0.001) and asbestosis-UIP (61.0 mL/year, p = 0.008) respectively. Sub-analysis of CTD-UIP revealed that patients with rheumatoid arthritis (RA)-UIP (88.1 mL/year) or antineutrophil cytoplasmic antibody-associated vasculitis (AAV)-UIP (72.9 mL/year) experienced a faster deterioration in FVC compared to those with primary Sjögren's syndrome (pSS)-UIP (25.9 mL/year, p < 0.05). Kaplan-Meier curves showed that IPF had the poorest TFS (median 55.9 months), followed by HP-UIP (57.5 months), CTD-UIP (66.7 months), and asbestosis-UIP (TFS not reached). RA-UIP or AAV-UIP did not exhibit any prognostic advantages compared to IPF, while asbestosis-UIP and pSS-UIP showed better survival rates. Conclusion Patients with UIP caused by different underlying conditions share certain common features, but the trajectories of disease progression and survival outcomes differ.
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Affiliation(s)
- Shuqiao Yang
- Clinical Center for Interstitial Lung Diseases, Beijing Institute of Respiratory Medicine, Beijing Chao-Yang Hospital, Capital Medical University, Beijing, China
- Department of Respiratory and Critical Care Medicine, Beijing Chao-Yang Hospital, Capital Medical University, Beijing, China
| | - Jing Wang
- Clinical Center for Interstitial Lung Diseases, Beijing Institute of Respiratory Medicine, Beijing Chao-Yang Hospital, Capital Medical University, Beijing, China
- Department of Respiratory and Critical Care Medicine, Beijing Chao-Yang Hospital, Capital Medical University, Beijing, China
| | - Di Sun
- Clinical Center for Interstitial Lung Diseases, Beijing Institute of Respiratory Medicine, Beijing Chao-Yang Hospital, Capital Medical University, Beijing, China
- Department of Occupational Medicine and Toxicology, Beijing Chao-Yang Hospital, Capital Medical University, Beijing, China
| | - Yiran Wang
- Clinical Center for Interstitial Lung Diseases, Beijing Institute of Respiratory Medicine, Beijing Chao-Yang Hospital, Capital Medical University, Beijing, China
- Department of Occupational Medicine and Toxicology, Beijing Chao-Yang Hospital, Capital Medical University, Beijing, China
| | - Changjiang Xue
- Clinical Center for Interstitial Lung Diseases, Beijing Institute of Respiratory Medicine, Beijing Chao-Yang Hospital, Capital Medical University, Beijing, China
- Department of Occupational Medicine and Toxicology, Beijing Chao-Yang Hospital, Capital Medical University, Beijing, China
| | - Qiao Ye
- Clinical Center for Interstitial Lung Diseases, Beijing Institute of Respiratory Medicine, Beijing Chao-Yang Hospital, Capital Medical University, Beijing, China
- Department of Occupational Medicine and Toxicology, Beijing Chao-Yang Hospital, Capital Medical University, Beijing, China
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12
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Minamibata A, Kono Y, Arimoto T, Marunaka Y, Takayama K. Variability of serum CYFRA 21 - 1 and its susceptibility to clinical characteristics in individuals without cancer: a 4-year retrospective analysis. BMC Pulm Med 2023; 23:344. [PMID: 37705035 PMCID: PMC10500899 DOI: 10.1186/s12890-023-02650-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/26/2023] [Accepted: 09/11/2023] [Indexed: 09/15/2023] Open
Abstract
BACKGROUND CYFRA 21 - 1 is a useful marker for diagnosing and monitoring lung cancer. However, its stability remains unclear. Moreover, while its applicability to screening is now being investigated, CYFRA 21 - 1 levels in individuals without cancer, who are targets for cancer screening, have not yet been the focus of research. Therefore, the present study investigated variability in and the factors increasing serum CYFRA 21 - 1 levels. METHODS This retrospective study recruited 951 individuals undergoing annual medical examinations for six years. We used data obtained in the first four years. Variability in serum CYFRA 21 - 1 levels over a period of four years were investigated. CYFRA 21 - 1 was categorized as normal (≤ 3.5 ng/ml) or elevated (> 3.5 ng/ml). The rate of an elevated level in one visit and the transition from an elevated to normal level between visits were visualized. A multiple logistic regression model was used to study the relationships between the frequency of elevated CYFRA 21 - 1 levels and clinical characteristics, such as age, sex, body mass index, weight changes, and the smoking status. RESULTS Approximately 5% of subjects had elevated CYFRA 21 - 1 levels once in five tests over four years, while 15% had elevated CYFRA 21 - 1 levels once or more. Among subjects with elevated CYFRA 21 - 1 levels in one blood test, between 63 and 72% had normal levels in the next test. The median CYFRA 21 - 1 level in subjects with elevations in one blood test significantly decreased in the next test at all four time points. The frequency of elevated CYFRA 21 - 1 levels was associated with an older age [odds ratio (OR) = 6.99, 95% confidence interval (CI) = 3.01-16.2], current heavy smoking (OR = 3.46, 95% CI = 1.52-7.9), and weight loss (OR = 1.86, 95% CI = 1.07-3.24). CONCLUSIONS Variability in and the factors increasing serum CYFRA 21 - 1 levels beyond the cut-off value need to be considered when interpretating CYFRA 21 - 1 test results. The future application of CYFRA 21 - 1 to lung cancer screening may require more than a single measurement.
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Affiliation(s)
- Asami Minamibata
- Medical Research Institute, Kyoto Industrial Health Association, 67 Kita-Tsuboicho Nishinokyo Nakagyo-ku, Kyoto, 604-8472, Japan.
| | - Yoshihito Kono
- Medical Research Institute, Kyoto Industrial Health Association, 67 Kita-Tsuboicho Nishinokyo Nakagyo-ku, Kyoto, 604-8472, Japan
| | - Taichiro Arimoto
- Medical Research Institute, Kyoto Industrial Health Association, 67 Kita-Tsuboicho Nishinokyo Nakagyo-ku, Kyoto, 604-8472, Japan
| | - Yoshinori Marunaka
- Medical Research Institute, Kyoto Industrial Health Association, 67 Kita-Tsuboicho Nishinokyo Nakagyo-ku, Kyoto, 604-8472, Japan
| | - Koichi Takayama
- Department of Pulmonary Medicine, Graduate School of Medical Science, Kyoto Prefectural University of Medicine, Kyoto, Japan
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13
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Smith DJF, Jenkins RG. Contemporary Concise Review 2022: Interstitial lung disease. Respirology 2023; 28:627-635. [PMID: 37121779 DOI: 10.1111/resp.14511] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/09/2023] [Accepted: 04/12/2023] [Indexed: 05/02/2023]
Abstract
Novel genetic associations for idiopathic pulmonary fibrosis (IPF) risk have been identified. Common genetic variants associated with IPF are also associated with chronic hypersensitivity pneumonitis. The characterization of underlying mechanisms, such as pathways involved in myofibroblast differentiation, may reveal targets for future treatments. Newly identified circulating biomarkers are associated with disease progression and mortality. Deep learning and machine learning may increase accuracy in the interpretation of CT scans. Novel treatments have shown benefit in phase 2 clinical trials. Hospitalization with COVID-19 is associated with residual lung abnormalities in a substantial number of patients. Inequalities exist in delivering and accessing interstitial lung disease specialist care.
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Affiliation(s)
- David J F Smith
- National Heart and Lung Institute, Imperial College London, London, UK
- Department of Interstitial Lung Disease, Royal Brompton and Harefield Hospital, Guys and St Thomas' NHS Foundation Trust, London, UK
| | - R Gisli Jenkins
- National Heart and Lung Institute, Imperial College London, London, UK
- Department of Interstitial Lung Disease, Royal Brompton and Harefield Hospital, Guys and St Thomas' NHS Foundation Trust, London, UK
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14
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Molyneaux PL, Maher TM. Reply to Fujimoto et al.: The Need for a CYFRA 21-1 Cutoff Value to Predict Clinical Progression of IPF in Clinical Practice. Am J Respir Crit Care Med 2022; 206:649-650. [PMID: 35584340 PMCID: PMC9716918 DOI: 10.1164/rccm.202205-0835le] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022] Open
Affiliation(s)
- Philip L. Molyneaux
- Imperial College LondonLondon, United Kingdom,Guy’s and St. Thomas’ National Health Service Foundation TrustLondon, United Kingdom
| | - Toby M. Maher
- Imperial College LondonLondon, United Kingdom,Guy’s and St. Thomas’ National Health Service Foundation TrustLondon, United Kingdom,University of Southern CaliforniaLos Angeles, California,Corresponding author (e-mail: )
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15
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Fujimoto H, D’Alessandro-Gabazza CN, Yasuma T, Kobayashi T, Gabazza EC. The Need for a CYFRA 21-1 Cutoff Value to Predict Clinical Progression of IPF in Clinical Practice. Am J Respir Crit Care Med 2022; 206:648-649. [PMID: 35584343 PMCID: PMC9716895 DOI: 10.1164/rccm.202204-0708le] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022] Open
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16
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Maher TM. Biomarkers for Interstitial Lung Abnormalities: A Stepping-stone Toward Idiopathic Pulmonary Fibrosis Prevention? Am J Respir Crit Care Med 2022; 206:244-246. [PMID: 35580066 PMCID: PMC9890254 DOI: 10.1164/rccm.202205-0839ed] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/04/2023] Open
Affiliation(s)
- Toby M. Maher
- Keck School of MedicineUniversity of Southern CaliforniaLos Angeles, California,Royal Brompton and Harefield HospitalsGuy’s and St Thomas’ NHS Foundation TrustLondon, United Kingdom,National Heart and Lung InstituteImperial College LondonLondon, United Kingdom
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17
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Spagnolo P, Oldham JM. On Target: CYFRA 21-1 as an Idiopathic Pulmonary Fibrosis Biomarker. Am J Respir Crit Care Med 2022; 205:1376-1377. [PMID: 35446243 PMCID: PMC9875889 DOI: 10.1164/rccm.202203-0474ed] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/29/2023] Open
Affiliation(s)
- Paolo Spagnolo
- Department of Cardiac, Thoracic, Vascular Sciences, and Public Health University of Padova Padova, Italy
| | - Justin M Oldham
- Division of Pulmonary, Critical Care, and Sleep Medicine University of California Davis Sacramento, California
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