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Ellis P, Parekh G, Duvoix A, Watson L, Sharp A, Mobeen F, Pye A, Stockley R, Turner A. Characteristics of alpha-1 antitrypsin deficiency related lung disease exacerbations using a daily symptom diary and urinary biomarkers. PLoS One 2024; 19:e0297125. [PMID: 38306339 PMCID: PMC10836691 DOI: 10.1371/journal.pone.0297125] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/03/2023] [Accepted: 12/27/2023] [Indexed: 02/04/2024] Open
Abstract
BACKGROUND Pulmonary exacerbations in alpha-1 antitrypsin deficiency (AATD) related lung disease are a significant contributor to disease burden, as with usual COPD. Separating the early stages of an exacerbation from the day-to-day variation in stable COPD is central to the concerns of both clinicians and patients and has been identified as a research priority by NIHR. Clinical tools that distinguish baseline symptoms from those of an exacerbation could allow early and appropriate treatment of AECOPD to reduce the impact and potentially may slow disease progression thereby improving survival and quality of life. Candidate tools include symptom diaries and biomarkers of infection and acute inflammation. Urinary biomarkers of AECOPD have yet to be explored in AATD related COPD. METHODS 55 patients with AATD related lung disease with a history of 2 or more AECOPD in the preceding year were prospectively followed for 18 months. Each patient recorded symptom scores daily via an electronic symptom diary (eDiary) based on Bronkotest. Urinary biomarkers for AAT, NE, CRP, TIMP1 and desmosine were measured weekly using a home urinary lateral flow device. During self-reported AECOPD patients were asked to perform urine analysis on the first 7 consecutive days. RESULTS Type I Anthonisen exacerbations and episodes occurring in autumn/winter lasted longer than Type II/III exacerbations and spring/summer episodes respectively. Median urinary CRP concentration across all study participants increased during Type I AECOPD. eDiary adherence was 68% over a median of 17.8 months (IQR 15.7 to 18.5). CONCLUSIONS Use of an eDiary and urinary biomarkers to detect and characterise AECOPD remotely in AATD related lung disease is feasible over a prolonged period and paves the way for precision detection of exacerbations.
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Affiliation(s)
- Paul Ellis
- Institute of Applied Health Research, University of Birmingham, Birmingham, United Kingdom
- University Hospitals Birmingham NHS Foundation Trust, Birmingham, United Kingdom
| | - Gita Parekh
- Mologic Ltd, Thurleigh, Bedford, United Kingdom
| | | | | | - Alex Sharp
- Institute of Applied Health Research, University of Birmingham, Birmingham, United Kingdom
| | - Farah Mobeen
- Institute of Applied Health Research, University of Birmingham, Birmingham, United Kingdom
| | - Anita Pye
- Institute of Applied Health Research, University of Birmingham, Birmingham, United Kingdom
| | - Robert Stockley
- Institute of Inflammation and Aging, University of Birmingham, Birmingham, United Kingdom
| | - Alice Turner
- Institute of Applied Health Research, University of Birmingham, Birmingham, United Kingdom
- University Hospitals Birmingham NHS Foundation Trust, Birmingham, United Kingdom
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2
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Catar RA, Chen L, Cuff SM, Kift-Morgan A, Eberl M, Kettritz R, Kamhieh-Milz J, Moll G, Li Q, Zhao H, Kawka E, Zickler D, Parekh G, Davis P, Fraser DJ, Dragun D, Eckardt KU, Jörres A, Witowski J. Control of neutrophil influx during peritonitis by transcriptional cross-regulation of chemokine CXCL1 by IL-17 and IFN-γ. J Pathol 2020; 251:175-186. [PMID: 32232854 DOI: 10.1002/path.5438] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/06/2019] [Revised: 02/08/2020] [Accepted: 03/23/2020] [Indexed: 02/06/2023]
Abstract
Neutrophil infiltration is a hallmark of peritoneal inflammation, but mechanisms regulating neutrophil recruitment in patients with peritoneal dialysis (PD)-related peritonitis are not fully defined. We examined 104 samples of PD effluent collected during acute peritonitis for correspondence between a broad range of soluble parameters and neutrophil counts. We observed an association between peritoneal IL-17 and neutrophil levels. This relationship was evident in effluent samples with low but not high IFN-γ levels, suggesting a differential effect of IFN-γ concentration on neutrophil infiltration. Surprisingly, there was no association of neutrophil numbers with the level of CXCL1, a key IL-17-induced neutrophil chemoattractant. We investigated therefore the production of CXCL1 by human peritoneal mesothelial cells (HPMCs) under in vitro conditions mimicking clinical peritonitis. Stimulation of HPMCs with IL-17 increased CXCL1 production through induction of transcription factor SP1 and activation of the SP1-binding region of the CXCL1 promoter. These effects were amplified by TNFα. In contrast, IFN-γ dose-dependently suppressed IL-17-induced SP1 activation and CXCL1 production through a transcriptional mechanism involving STAT1. The SP1-mediated induction of CXCL1 was also observed in HPMCs exposed to PD effluent collected during peritonitis and containing IL-17 and TNFα, but not IFN-γ. Supplementation of the effluent with IFN-γ led to a dose-dependent activation of STAT1 and a resultant inhibition of SP1-induced CXCL1 expression. Transmesothelial migration of neutrophils in vitro increased upon stimulation of HPMCs with IL-17 and was reduced by IFN-γ. In addition, HPMCs were capable of binding CXCL1 at their apical cell surface. These observations indicate that changes in relative peritoneal concentrations of IL-17 and IFN-γ can differently engage SP1-STAT1, impacting on mesothelial cell transcription of CXCL1, whose release and binding to HPMC surface may determine optimal neutrophil recruitment and retention during peritonitis. © 2020 The Authors. The Journal of Pathology published by John Wiley & Sons Ltd on behalf of Pathological Society of Great Britain and Ireland.
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Affiliation(s)
- Rusan A Catar
- Department of Nephrology and Medical Intensive Care, Charité-Universitätsmedizin, Berlin, Germany
- Berlin Institute of Health, Berlin, Germany
| | - Lei Chen
- Department of Nephrology and Medical Intensive Care, Charité-Universitätsmedizin, Berlin, Germany
| | - Simone M Cuff
- Division of Infection & Immunity, School of Medicine, Cardiff University, Cardiff, UK
| | - Ann Kift-Morgan
- Division of Infection & Immunity, School of Medicine, Cardiff University, Cardiff, UK
| | - Matthias Eberl
- Division of Infection & Immunity, School of Medicine, Cardiff University, Cardiff, UK
- Systems Immunity Research Institute, Cardiff University, Cardiff, UK
| | - Ralph Kettritz
- Department of Nephrology and Medical Intensive Care, Charité-Universitätsmedizin, Berlin, Germany
- Experimental and Clinical Research Center, Max-Delbrück-Center für Molekulare Medizin in der Helmholtz-Gemeinschaft, Berlin, Germany
| | - Julian Kamhieh-Milz
- Department of Transfusion Medicine, Charité-Universitätsmedizin, Berlin, Germany
| | - Guido Moll
- Department of Nephrology and Medical Intensive Care, Charité-Universitätsmedizin, Berlin, Germany
- BIH Center for Regenerative Therapies (BCRT), Charité Universitätsmedizin, Berlin, Germany
- Berlin-Brandenburg School for Regenerative Therapies, Charité Universitätsmedizin, Berlin, Germany
- Julius Wolff Institute, Charité Universitätsmedizin, Berlin, Germany
| | - Qing Li
- Department of Nephrology and Medical Intensive Care, Charité-Universitätsmedizin, Berlin, Germany
| | - Hongfan Zhao
- Department of Nephrology and Medical Intensive Care, Charité-Universitätsmedizin, Berlin, Germany
| | - Edyta Kawka
- Department of Pathophysiology, Poznan University of Medical Sciences, Poznan, Poland
| | - Daniel Zickler
- Department of Nephrology and Medical Intensive Care, Charité-Universitätsmedizin, Berlin, Germany
| | - Gita Parekh
- Mologic Ltd, Bedford Technology Park, Thurleigh, Bedford, UK
| | - Paul Davis
- Mologic Ltd, Bedford Technology Park, Thurleigh, Bedford, UK
| | - Donald J Fraser
- Division of Infection & Immunity, School of Medicine, Cardiff University, Cardiff, UK
- Systems Immunity Research Institute, Cardiff University, Cardiff, UK
- Wales Kidney Research Unit, Cardiff University, Cardiff, UK
| | - Duska Dragun
- Department of Nephrology and Medical Intensive Care, Charité-Universitätsmedizin, Berlin, Germany
- Berlin Institute of Health, Berlin, Germany
| | - Kai-Uwe Eckardt
- Department of Nephrology and Medical Intensive Care, Charité-Universitätsmedizin, Berlin, Germany
| | - Achim Jörres
- Department of Medicine I, Nephrology, Transplantation and Medical Intensive Care, University Witten/Herdecke, Medical Center Cologne-Merheim, Cologne, Germany
| | - Janusz Witowski
- Department of Nephrology and Medical Intensive Care, Charité-Universitätsmedizin, Berlin, Germany
- Department of Pathophysiology, Poznan University of Medical Sciences, Poznan, Poland
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3
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Goodlad C, George S, Sandoval S, Mepham S, Parekh G, Eberl M, Topley N, Davenport A. Measurement of innate immune response biomarkers in peritoneal dialysis effluent using a rapid diagnostic point-of-care device as a diagnostic indicator of peritonitis. Kidney Int 2020; 97:1253-1259. [PMID: 32359809 DOI: 10.1016/j.kint.2020.01.044] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/07/2019] [Revised: 01/22/2020] [Accepted: 01/30/2020] [Indexed: 11/28/2022]
Abstract
Peritonitis is the commonest complication of peritoneal dialysis and a major reason for treatment failure. Current diagnosis is based on clinical symptoms, cloudy effluent and a dialysate white cell count (over 100 cells/μl). A rapid point-of-care diagnostic test would accelerate diagnosis and potentially improve outcomes from infection. Here, in a clinical audit project, we used PERiPLEX®, a point-of-care device which detects when levels of matrix metalloproteinase-8 and interleukin-6 are elevated above a threshold within minutes in dialysis effluent, to assess whether it could confirm or exclude peritonitis in 107 patients undergoing peritoneal dialysis. Mean patient age was 64.6 years with a median duration of peritoneal dialysis of 13.3 months (interquartile range 6.3 - 33.5 months). Presence of peritonitis was confirmed by clinical criteria. There were 49 positive tests of which 41 patients had peritonitis, three had other causes of intra-peritoneal inflammation, three had severe urosepsis and two patients required no treatment. Fifty-eight tests were negative with one patient having a false negative result. The positive predictive value of the test was 83.7% (95% confidence interval 72.8 - 90.8) and the negative predictive value was 98.3% (89.1 - 99.8). Sensitivity and specificity were 97.6% (87.4 - 99.9) and 87.7% (77.2 - 94.5) respectively. Thus, PERiPLEX® could be used as a rapid point-of-care test that can aid the diagnosis or exclusion of peritonitis with a high negative predictive value.
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Affiliation(s)
| | | | | | - Stephen Mepham
- Department of Nephrology, Royal Free Hospital, London, UK
| | | | - Matthias Eberl
- Division of Infection and Immunity, School of Medicine and Systems Immunity Research Institute, Cardiff University, Cardiff, UK
| | - Nicholas Topley
- Wales Kidney Research Unit, Cardiff University School of Medicine, Cardiff, UK
| | - Andrew Davenport
- Department of Nephrology, Royal Free Hospital, London, UK; Centre for Nephrology, University College London, London, UK
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4
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Gadalla AAH, Friberg IM, Kift-Morgan A, Zhang J, Eberl M, Topley N, Weeks I, Cuff S, Wootton M, Gal M, Parekh G, Davis P, Gregory C, Hood K, Hughes K, Butler C, Francis NA. Identification of clinical and urine biomarkers for uncomplicated urinary tract infection using machine learning algorithms. Sci Rep 2019; 9:19694. [PMID: 31873085 PMCID: PMC6928162 DOI: 10.1038/s41598-019-55523-x] [Citation(s) in RCA: 23] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/26/2019] [Accepted: 11/19/2019] [Indexed: 12/14/2022] Open
Abstract
Women with uncomplicated urinary tract infection (UTI) symptoms are commonly treated with empirical antibiotics, resulting in overuse of antibiotics, which promotes antimicrobial resistance. Available diagnostic tools are either not cost-effective or diagnostically sub-optimal. Here, we identified clinical and urinary immunological predictors for UTI diagnosis. We explored 17 clinical and 42 immunological potential predictors for bacterial culture among women with uncomplicated UTI symptoms using random forest or support vector machine coupled with recursive feature elimination. Urine cloudiness was the best performing clinical predictor to rule out (negative likelihood ratio [LR−] = 0.4) and rule in (LR+ = 2.6) UTI. Using a more discriminatory scale to assess cloudiness (turbidity) increased the accuracy of UTI prediction further (LR+ = 4.4). Urinary levels of MMP9, NGAL, CXCL8 and IL-1β together had a higher LR+ (6.1) and similar LR− (0.4), compared to cloudiness. Varying the bacterial count thresholds for urine culture positivity did not alter best clinical predictor selection, but did affect the number of immunological predictors required for reaching an optimal prediction. We conclude that urine cloudiness is particularly helpful in ruling out negative UTI cases. The identified urinary biomarkers could be used to develop a point of care test for UTI but require further validation.
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Affiliation(s)
- Amal A H Gadalla
- Division of Population Medicine, School of Medicine, College of Biomedical and Life Sciences, Cardiff University, Cardiff, United Kingdom.
| | - Ida M Friberg
- Division of Infection & Immunity, School of Medicine, College of Biomedical and Life Sciences, Cardiff University, Cardiff, United Kingdom
| | - Ann Kift-Morgan
- Division of Infection & Immunity, School of Medicine, College of Biomedical and Life Sciences, Cardiff University, Cardiff, United Kingdom
| | - Jingjing Zhang
- Division of Infection & Immunity, School of Medicine, College of Biomedical and Life Sciences, Cardiff University, Cardiff, United Kingdom
| | - Matthias Eberl
- Division of Infection & Immunity, School of Medicine, College of Biomedical and Life Sciences, Cardiff University, Cardiff, United Kingdom.,Systems Immunity Research Institute, Cardiff University, Cardiff, United Kingdom
| | - Nicholas Topley
- Division of Infection & Immunity, School of Medicine, College of Biomedical and Life Sciences, Cardiff University, Cardiff, United Kingdom.,Systems Immunity Research Institute, Cardiff University, Cardiff, United Kingdom
| | - Ian Weeks
- Systems Immunity Research Institute, Cardiff University, Cardiff, United Kingdom.,Clinical Innovation Hub, School of Medicine, College of Biomedical and Life Sciences, Cardiff University, Cardiff, United Kingdom
| | - Simone Cuff
- Division of Infection & Immunity, School of Medicine, College of Biomedical and Life Sciences, Cardiff University, Cardiff, United Kingdom.,Systems Immunity Research Institute, Cardiff University, Cardiff, United Kingdom.,Clinical Innovation Hub, School of Medicine, College of Biomedical and Life Sciences, Cardiff University, Cardiff, United Kingdom
| | - Mandy Wootton
- Specialist Antimicrobial Chemotherapy Unit, Public Health Wales Microbiology Cardiff, University Hospital of Wales, Cardiff, United Kingdom
| | - Micaela Gal
- Division of Population Medicine, School of Medicine, College of Biomedical and Life Sciences, Cardiff University, Cardiff, United Kingdom
| | - Gita Parekh
- Mologic Ltd., Bedford Technology Park, Thurleigh, Bedford, United Kingdom
| | - Paul Davis
- Mologic Ltd., Bedford Technology Park, Thurleigh, Bedford, United Kingdom
| | - Clive Gregory
- Division of Population Medicine, School of Medicine, College of Biomedical and Life Sciences, Cardiff University, Cardiff, United Kingdom
| | - Kerenza Hood
- Centre for Trials Research, School of Medicine, College of Biomedical and Life Sciences, Cardiff University, Cardiff, United Kingdom
| | - Kathryn Hughes
- Division of Population Medicine, School of Medicine, College of Biomedical and Life Sciences, Cardiff University, Cardiff, United Kingdom
| | - Christopher Butler
- Division of Population Medicine, School of Medicine, College of Biomedical and Life Sciences, Cardiff University, Cardiff, United Kingdom.,Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, United Kingdom
| | - Nick A Francis
- Division of Population Medicine, School of Medicine, College of Biomedical and Life Sciences, Cardiff University, Cardiff, United Kingdom.,Primary Care, Population Sciences and Medical Education, University of Southampton, Southampton, United Kingdom
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5
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Nash E, Choyce J, Carrolan V, Justice E, Parekh G, Watson L, Davis P, Whitehouse J. P217 Urinary biomarkers as a diagnostic test for early pulmonary exacerbations in adults with cystic fibrosis. J Cyst Fibros 2019. [DOI: 10.1016/s1569-1993(19)30510-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
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6
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Zhang J, Friberg IM, Kift-Morgan A, Parekh G, Morgan MP, Liuzzi AR, Lin CY, Donovan KL, Colmont CS, Morgan PH, Davis P, Weeks I, Fraser DJ, Topley N, Eberl M. Machine-learning algorithms define pathogen-specific local immune fingerprints in peritoneal dialysis patients with bacterial infections. Kidney Int 2017; 92:179-191. [PMID: 28318629 PMCID: PMC5484022 DOI: 10.1016/j.kint.2017.01.017] [Citation(s) in RCA: 38] [Impact Index Per Article: 5.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/01/2016] [Revised: 01/04/2017] [Accepted: 01/12/2017] [Indexed: 12/01/2022]
Abstract
The immune system has evolved to sense invading pathogens, control infection, and restore tissue integrity. Despite symptomatic variability in patients, unequivocal evidence that an individual's immune system distinguishes between different organisms and mounts an appropriate response is lacking. We here used a systematic approach to characterize responses to microbiologically well-defined infection in a total of 83 peritoneal dialysis patients on the day of presentation with acute peritonitis. A broad range of cellular and soluble parameters was determined in peritoneal effluents, covering the majority of local immune cells, inflammatory and regulatory cytokines and chemokines as well as tissue damage–related factors. Our analyses, utilizing machine-learning algorithms, demonstrate that different groups of bacteria induce qualitatively distinct local immune fingerprints, with specific biomarker signatures associated with Gram-negative and Gram-positive organisms, and with culture-negative episodes of unclear etiology. Even more, within the Gram-positive group, unique immune biomarker combinations identified streptococcal and non-streptococcal species including coagulase-negative Staphylococcus spp. These findings have diagnostic and prognostic implications by informing patient management and treatment choice at the point of care. Thus, our data establish the power of non-linear mathematical models to analyze complex biomedical datasets and highlight key pathways involved in pathogen-specific immune responses.
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Affiliation(s)
- Jingjing Zhang
- Division of Infection and Immunity, School of Medicine, Cardiff University, Cardiff, UK
| | - Ida M Friberg
- Division of Infection and Immunity, School of Medicine, Cardiff University, Cardiff, UK
| | - Ann Kift-Morgan
- Division of Infection and Immunity, School of Medicine, Cardiff University, Cardiff, UK
| | - Gita Parekh
- Mologic Ltd., Bedford Technology Park, Thurleigh, Bedford, UK
| | - Matt P Morgan
- Division of Infection and Immunity, School of Medicine, Cardiff University, Cardiff, UK; Directorate of Critical Care, Cardiff and Vale University Health Board, University Hospital of Wales, Heath Park, Cardiff, UK
| | - Anna Rita Liuzzi
- Division of Infection and Immunity, School of Medicine, Cardiff University, Cardiff, UK
| | - Chan-Yu Lin
- Division of Infection and Immunity, School of Medicine, Cardiff University, Cardiff, UK; Kidney Research Center, Chang Gung Memorial Hospital, Chang Gung University, College of Medicine, Taoyuan City, Taiwan
| | - Kieron L Donovan
- Wales Kidney Research Unit, Heath Park Campus, Cardiff, UK; Directorate of Nephrology and Transplantation, Cardiff and Vale University Health Board, University Hospital of Wales, Heath Park, Cardiff, UK
| | | | - Peter H Morgan
- Cardiff Business School, Cardiff University, Cardiff, UK
| | - Paul Davis
- Mologic Ltd., Bedford Technology Park, Thurleigh, Bedford, UK
| | - Ian Weeks
- Systems Immunity Research Institute, Cardiff University, Cardiff, UK
| | - Donald J Fraser
- Division of Infection and Immunity, School of Medicine, Cardiff University, Cardiff, UK; Wales Kidney Research Unit, Heath Park Campus, Cardiff, UK; Directorate of Nephrology and Transplantation, Cardiff and Vale University Health Board, University Hospital of Wales, Heath Park, Cardiff, UK; Systems Immunity Research Institute, Cardiff University, Cardiff, UK
| | - Nicholas Topley
- Wales Kidney Research Unit, Heath Park Campus, Cardiff, UK; Systems Immunity Research Institute, Cardiff University, Cardiff, UK
| | - Matthias Eberl
- Division of Infection and Immunity, School of Medicine, Cardiff University, Cardiff, UK; Systems Immunity Research Institute, Cardiff University, Cardiff, UK.
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7
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Elliott TSJ, Casey AL, Karpanen TJ, David MD, Whitehouse T, Lambert PA, Vernallis AB, Worthington T, Parekh G, Dunston CR, Kirby J, Davis P. Addition of PLA2 to CRP enhances sepsis diagnosis. J Infect 2016; 73:386-8. [PMID: 27456391 DOI: 10.1016/j.jinf.2016.07.009] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/13/2016] [Accepted: 07/15/2016] [Indexed: 11/25/2022]
Affiliation(s)
- Tom S J Elliott
- Corporate Division, University Hospital Birmingham NHS Foundation Trust, Queen Elizabeth Hospital, Edgbaston, Birmingham, UK
| | - Anna L Casey
- Department of Clinical Microbiology, University Hospital Birmingham NHS Foundation Trust, Queen Elizabeth Hospital, Edgbaston, Birmingham, UK
| | - Tarja J Karpanen
- Department of Clinical Microbiology, University Hospital Birmingham NHS Foundation Trust, Queen Elizabeth Hospital, Edgbaston, Birmingham, UK
| | - Miruna D David
- Department of Clinical Microbiology, University Hospital Birmingham NHS Foundation Trust, Queen Elizabeth Hospital, Edgbaston, Birmingham, UK
| | - Tony Whitehouse
- Critical Care and Anaesthesia, University Hospital Birmingham NHS Foundation Trust, Queen Elizabeth Hospital, Edgbaston, Birmingham, UK
| | - Peter A Lambert
- School of Life and Health Sciences, Aston University, Birmingham, UK.
| | - Ann B Vernallis
- School of Life and Health Sciences, Aston University, Birmingham, UK
| | - Tony Worthington
- School of Life and Health Sciences, Aston University, Birmingham, UK
| | | | | | - Josh Kirby
- Mologic Ltd, Thurleigh, Bedfordshire, UK
| | - Paul Davis
- Mologic Ltd, Thurleigh, Bedfordshire, UK
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8
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Meredith S, Parekh G, Towler J, Schouten J, Davis P, Griffiths H, Spickett C. Mapping nitro-tyrosine modifications in fibrinogen by mass spectrometry as a biomarker for inflammatory disease. Free Radic Biol Med 2014; 75 Suppl 1:S50. [PMID: 26461400 DOI: 10.1016/j.freeradbiomed.2014.10.819] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/24/2022]
Abstract
There is a growing awareness that inflammatory diseases have an oxidative pathology, which can result in specific oxidation of amino acids within proteins. It is known that patients with inflammatory disease have higher levels of plasma protein nitro-tyrosine than healthy controls. Fibrinogen is an abundant plasma protein, highly susceptible to such oxidative modifications, and is therefore a potential marker for oxidative protein damage. The aim of this study was to map tyrosine nitration in fibrinogen under oxidative conditions and identify susceptible residues. Fibrinogen was oxidised with 0.25mM and 1mM SIN-1, a peroxynitrite generator, and methionine was used to quench excess oxidant in the samples. The carbonyl assay was used to confirm oxidation in the samples. The carbonyl levels were 2.3, 8.72 and 11.5nmol/mg protein in 0, 0.25mM and 1mM SIN-1 samples respectively. The samples were run on a SDS-PAGE gel and tryptically digested before analysis by HPLC MS-MS. All 3 chains of fibrinogen were observed for all treatment conditions. The overall sequence coverage for fibrinogen determined by Mascot was between 60-75%. The oxidised samples showed increases in oxidative modifications in both alpha and beta chains, commonly methionine sulfoxide and tyrosine nitration, correlating with increasing SIN-1 treatment. Tyrosines that were most susceptible were Tyr135 (tryptic peptide YLQEIYNSNNQK) and Tyr277 (tryptic peptide GGSTSYGTGSETESPR), but several other nitrated tyrosines were also identified with high confidence. Identification of these susceptible peptides will allow design of sequences-specific biomarkers of oxidative and nitrative damage to plasma protein in inflammatory conditions.
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Affiliation(s)
- Stuart Meredith
- Aston University (Birmingham), School of Life and Health Sciences, UK
| | | | | | | | | | - Helen Griffiths
- Aston University (Birmingham), School of Life and Health Sciences, UK
| | - Corinne Spickett
- Aston University (Birmingham), School of Life and Health Sciences, UK.
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9
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Nash E, Parekh G, Davis P, Whitehouse J, Stevens M. 138 Urinary inflammatory markers in the assessment of clinical status in adults with CF. J Cyst Fibros 2012. [DOI: 10.1016/s1569-1993(12)60308-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/28/2022]
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