Within-person reproducibility of proteoforms related to inflammation and renal dysfunction
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[1] S. Dankel,et al. Changes in lipoprotein particle subclasses, standard lipids, and apolipoproteins after supplementation with n-3 or n-6 PUFAs in abdominal obesity: A randomized double-blind crossover study. , 2021, Clinical nutrition.
[2] P. Ueland,et al. Microheterogeneity and preanalytical stability of protein biomarkers of inflammation and renal function. , 2021, Talanta.
[3] T. Kislinger,et al. Recent advances in mass spectrometry based clinical proteomics: applications to cancer research , 2020, Clinical Proteomics.
[4] O. Laterza,et al. Protein Biomarker Quantification by Immunoaffinity Liquid Chromatography-Tandem Mass Spectrometry: Current State and Future Vision. , 2020, Clinical chemistry.
[5] E. Fernández,et al. N-Terminal Proteoforms in Human Disease. , 2020, Trends in biochemical sciences.
[6] A. Pfeiffer,et al. In pursuit of novel biomarkers reflecting intestinal inflammation: temporal variability and phenotypic characterisation of serum calprotectin and lactoferrin , 2020 .
[7] C. Frost,et al. Reflection on modern methods: calculating a sample size for a repeatability sub-study to correct for measurement error in a single continuous exposure , 2019, International journal of epidemiology.
[8] P. Ueland,et al. Multiplex Immuno-MALDI-TOF MS for Targeted Quantification of Protein Biomarkers and Their Proteoforms Related to Inflammation and Renal Dysfunction. , 2018, Analytical chemistry.
[9] Lloyd M. Smith,et al. How many human proteoforms are there? , 2018, Nature chemical biology.
[10] R. Nelson,et al. Mass Spectrometric Immunoassays in Characterization of Clinically Significant Proteoforms , 2016, Proteomes.
[11] E. Grove,et al. Calprotectin and Platelet Aggregation in Patients with Stable Coronary Artery Disease , 2015, PloS one.
[12] B. Hedblad,et al. Plasma S100A8/A9 Correlates With Blood Neutrophil Counts, Traditional Risk Factors, and Cardiovascular Disease in Middle-Aged Healthy Individuals , 2014, Arteriosclerosis, thrombosis, and vascular biology.
[13] S. Juraschek,et al. Within-person variability in high-sensitivity C-reactive protein. , 2012, Archives of internal medicine.
[14] M. Budoff,et al. Intraindividual variability of C-reactive protein: the Multi-Ethnic Study of Atherosclerosis. , 2012, Atherosclerosis.
[15] L. Berglund. Regression dilution bias: Tools for correction methods and sample size calculation , 2012, Upsala journal of medical sciences.
[16] C. Y. Wang,et al. Reliability of Serum Biomarkers of Inflammation from Repeated Measures in Healthy Individuals , 2012, Cancer Epidemiology, Biomarkers & Prevention.
[17] James F Rusling,et al. Measurement of biomarker proteins for point-of-care early detection and monitoring of cancer. , 2010, The Analyst.
[18] Mengling Liu,et al. Reliability of tumor markers, chemokines, and metastasis-related molecules in serum. , 2009, European cytokine network.
[19] S. Vollset,et al. Angiography : A Randomized Controlled Trial CoronaryWith Homocysteine-Lowering B Vitamins After Mortality and Cardiovascular Events in Patients Treated , 2008 .
[20] Gary Walsh,et al. Post-translational modifications in the context of therapeutic proteins , 2006, Nature Biotechnology.
[21] S. Hankinson,et al. Use of biomarkers in epidemiologic studies: minimizing the influence of measurement error in the study design and analysis , 2006, Cancer Causes & Control.
[22] Steven A Carr,et al. Protein biomarker discovery and validation: the long and uncertain path to clinical utility , 2006, Nature Biotechnology.
[23] E. Mannucci,et al. Cystatin C reference values and aging. , 2006, Clinical biochemistry.
[24] S. Kagamimori,et al. Intra-individual variability of high-sensitivity C-reactive protein: age-related variations over time in Japanese subjects. , 2006, Circulation journal : official journal of the Japanese Circulation Society.
[25] H. Boshuizen,et al. Reliability of biomarkers of iron status, blood lipids, oxidative stress, vitamin D, C-reactive protein and fructosamine in two Dutch cohorts , 2006, Biomarkers : biochemical indicators of exposure, response, and susceptibility to chemicals.
[26] R. Nelson,et al. Investigating diversity in human plasma proteins. , 2005, Proceedings of the National Academy of Sciences of the United States of America.
[27] S. Reis,et al. Serum Amyloid A as a Predictor of Coronary Artery Disease and Cardiovascular Outcome in Women: The National Heart, Lung, and Blood Institute–Sponsored Women’s Ischemia Syndrome Evaluation (WISE) , 2004, Circulation.
[28] D. Bonett. Sample size requirements for estimating intraclass correlations with desired precision , 2002, Statistics in medicine.
[29] G. M. D'eril,et al. Biological variation of serum amyloid A in healthy subjects. , 2001, Clinical chemistry.
[30] B. Keevil,et al. Biological variation of cystatin C: implications for the assessment of glomerular filtration rate. , 1998, Clinical chemistry.
[31] F. D. de Beer,et al. Human serum amyloid A (SAA) protein: a prominent acute‐phase reactant for clinical practice , 1996, European journal of clinical investigation.
[32] I. Kushner,et al. SERUM C‐REACTIVE PROTEIN LEVELS IN DISEASE * , 1982, Annals of the New York Academy of Sciences.
[33] J. Fleiss,et al. Intraclass correlations: uses in assessing rater reliability. , 1979, Psychological bulletin.
[34] K. Yoshizaki. Pathogenic role of IL-6 combined with TNF-α or IL-1 in the induction of acute phase proteins SAA and CRP in chronic inflammatory diseases. , 2011, Advances in experimental medicine and biology.
[35] R. Swaminathan,et al. Intra-individual variation in creatinine and cystatin C , 2007, Clinical chemistry and laboratory medicine.