Impact of Biological Matrix on Inflammatory Protein Biomarker Quantification Based on Targeted Mass Spectrometry

Incamps, Anne; Saez-Boiteau, Celia; Tiede, Svenja Lena; Rebillard, Pauline; Schulte, Janin; Vialaret, Jérôme; Beinrucker, Andre; Lehmann, Sylvain; Hirtz, Christophe

doi:10.4155/bio-2018-0149

Cited by 5 publications

(7 citation statements)

References 39 publications

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“…Subsequently there is a report of the successful LC-MS/MS method validation by Ferreira et al, using a water-based surrogate matrix, of dexamethasone in human aqueous humor [3]. Finally, we have the very intriguing and telling piece by Incamps et al [4] showing the possible effects of the plasma and serum matrix constituents on mass spectrometric-based measurement of protein analytes.…”

Section: Recent Thinking and Empirical Outcomesmentioning

confidence: 90%

Analytical Convergence in Surrogate Control Matrices

MacNeill

2018

Bioanalysis

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Section: Recent Thinking and Empirical Outcomesmentioning

confidence: 90%

Analytical Convergence in Surrogate Control Matrices

MacNeill

2018

Bioanalysis

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“…In total, 259 individual samples obtained from 50 included septic shock patients as well as pooled QC samples from 48 healthy individuals were processed following a protocol already described elsewhere [29]. Detailed information is also shown in the Supplementary Material 1.…”

Section: Mass Spectrometrymentioning

confidence: 99%

“…Following a detailed preexisting protocol [29], QC measurements were performed. Results of the MS-based QC measurements are described in detail in Supplementary Material 2.…”

Section: Ms-based Qc Measurementsmentioning

confidence: 99%

Soluble Intercellular Adhesion Molecule- (sICAM-) 1, Thrombospondin-1, and Vinculin for the Identification of Septic Shock Patients Suffering from an Invasive Fungal Infection

Decker

Incamps²,

Sigl

et al. 2020

Mediators of Inflammation

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Background. Nowadays, invasive fungal infections (IFI) are of increasing importance and associated with an increased mortality. However, reliable diagnostic tools for the identification of patients suffering from an IFI are rare and associated with relevant weaknesses. Methods. Within this secondary analysis of an observational clinical study, an innovative biomarker panel (consisting of 62 biomarkers in total) was screened for the identification of septic shock patients suffering from an IFI. Fungal growth in blood cultures, intraoperative swabs, and Aspergillus spp. in deep respiratory tract specimens with accompanying pulmonary infiltrates were classified as infection, whereas Candida spp. in the respiratory tract or in fluids from drainages were classified as colonization. Plasma samples of 50 septic shock patients at six predefined timepoints within a period of 28 days following the onset of septic shock were available. Results. In total, 11 out of the 50 patients (22%) were shown to suffer from an IFI, whereas 22 patients (44%) presented with a fungal colonization. Within the presented biomarker panel, plasma levels of soluble intercellular adhesion molecule-(sICAM-) 1, thrombospondin-1, and vinculin were shown to be the most promising. sICAM-1 was shown to be increased in patients with an IFI, whereas thrombospondin-1 and vinculin revealed decreased plasma levels as compared to colonized patients as well as patients without any fungal findings at any time. Conclusion. Plasmatic measurements of sICAM-1, thrombospondin-1, and vinculin may help to facilitate the diagnosis of an IFI in human septic shock and to identify patients with an increased risk for an IFI. This trial is registered with DRKS00005463.

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“…The presence of fibrinogen and other clotting factors in plasma results in a higher protein concentration than serum [47]. These differences in the sample matrix require consideration when performing biomarker discovery study or evaluating the clinical use of biomarkers [48]. Complete profiling of such complex biological samples is still unachievable due to the presence of a high concentration of few proteins and requires depletion; in particular, albumin, immunoglobulins, serotransferrin, and haptoglobin represent more than 99% of the total serum and plasma proteins and interfere with the detection of less abundant proteins, limiting the analytical efficiency of LC-MS/MS.…”

Section: Research In Ibdmentioning

confidence: 99%

Application of Proteomics to Inflammatory Bowel Disease Research: Current Status and Future Perspectives

Assadsangabi

Evans

Corfe

et al. 2019

Gastroenterology Research and Practice

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Inflammatory bowel disease (IBD) is a chronic relapsing/remitting inflammatory illness of the gastrointestinal tract of unknown aetiology. Despite recent advances in decoding the pathophysiology of IBD, many questions regarding disease pathogenesis remain. Genome-wide association studies (GWAS) and knockout mouse models have significantly advanced our understanding of genetic susceptibility loci and inflammatory pathways involved in IBD pathogenesis. Despite their important contribution to a better delineation of the disease process in IBD, these genetic findings have had little clinical impact to date. This is because the presence of a given gene mutation does not automatically correspond to changes in its expression or final metabolic or structural effect(s). Furthermore, the existence of these gene susceptibility loci in the normal population suggests other driving prerequisites for the disease manifestation. Proteins can be considered the main functional units as almost all intracellular physiological functions as well as intercellular interactions are dependent on them. Proteomics provides methods for the large-scale study of the proteins encoded by the genome of an organism or a cell, to directly investigate the proteins and pathways involved. Understanding the proteome composition and alterations yields insights into IBD pathogenesis as well as identifying potential biomarkers of disease activity, mucosal healing, and cancer progression. This review describes the state of the art in the field with respect to the study of IBD and the potential for translation from biomarker discovery to clinical application.

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Impact of Biological Matrix on Inflammatory Protein Biomarker Quantification Based on Targeted Mass Spectrometry

Abstract: Matrix comparisons using mass spectrometry is therefore recommended to assess the relevance of using surrogate matrix, performing biomarker discovery study or evaluating the clinical use of biomarkers in large clinical cohorts.

Cited by 5 publications

References 39 publications

Analytical Convergence in Surrogate Control Matrices

Analytical Convergence in Surrogate Control Matrices

Soluble Intercellular Adhesion Molecule- (sICAM-) 1, Thrombospondin-1, and Vinculin for the Identification of Septic Shock Patients Suffering from an Invasive Fungal Infection

Application of Proteomics to Inflammatory Bowel Disease Research: Current Status and Future Perspectives

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