Sample Preparation Methods for Targeted Biomarker Quantification by LC‐MS

Shen, Shichen; An, Bo; Qu, Jun

doi:10.1002/9781119413073.ch6

Cited by 3 publications

(1 citation statement)

References 243 publications

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“…However, the success of the analysis strongly depends on sample preparation [16]. In practice, sample preparation procedures are usually the most time‐consuming and critical step of the overall analytical process and are highly susceptible to errors and variability [17, 18]. The search for potential AD biomarkers depends on the determination of such conditions and procedures for sample processing, which would allow to obtain the most accurate and reliable data sets for a subsequent evaluation.…”

Section: Introductionmentioning

confidence: 99%

Comparison of proteomic approaches used for the detection of potential biomarkers of Alzheimer's disease in blood plasma

Smirnova

Viskin

Hoskova

et al. 2021

J of Separation Science

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At present, Alzheimer's disease is detected mainly using psychological tests, which can only confirm the disease in its more advanced phases. Therefore, bioanalytical possibilities for detecting this disease earlier are being investigated. To date, the results of analyses, which focus mainly on the study of lipids and proteins either in cerebrospinal fluid or much less often in blood plasma, do not provide satisfactory results. In addition, cerebrospinal fluid sampling is uncomfortable for the patients and involves many health risks. In this work, we deal with proteomic analysis using Matrix‐Assisted Laser Desorption/Ionisation—Time of Flight and Liquid Chromatography coupled to tandem Mass Spectrometry of blood plasma with a focus on various ways of preanalytical sample treatments. This should lead to results improvement and facilitate the subsequent evaluation using principal component analysis and partial least squares discriminant analysis. The obtained results indicate the direction of further research, namely the study of interactions between proteins and lipids contained in blood plasma. These substances may be regarded as potential biomarkers allowing for the diagnosis of Alzheimer´s disease even in its early stages.

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Section: Introductionmentioning

confidence: 99%

Comparison of proteomic approaches used for the detection of potential biomarkers of Alzheimer's disease in blood plasma

Smirnova

Viskin

Hoskova

et al. 2021

J of Separation Science

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Comparison of the techniques for isolating immunoassay-suitable proteins from heterogeneous fecal samples

Devan,

Ramli,

Alshehade

et al. 2025

Analytical Biochemistry

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Strategies for Effective Development of Ultra-Sensitive LC–MS/MS Assays: Application to a Novel STING Agonist

Fang

Licea‐Perez

2020

Bioanalysis

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Background: The continual need for the development and validation of ultra-sensitive (low pg/ml) LC–MS/MS assays in the pharmaceutical industry is largely driven by the ultra-low analyte exposure or very low sample volume. Methodology: Strategies and systematic approaches for sensitivity enhancement are provided which cover all aspects of a LC–MS/MS bioanalysis. A case study where such strategies were applied for the validation of a 5.0 pg/ml assay for a STING agonist is discussed. Conclusion: Analytical protocols were developed to extract analytes from large volume of plasma samples (600 and 400 μl) with high throughput. The guidance provided in this publication can serve as a resource to influence LC–MS/MS method development activities.

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Sample Preparation Methods for Targeted Biomarker Quantification by LC‐MS

Cited by 3 publications

References 243 publications

Comparison of proteomic approaches used for the detection of potential biomarkers of Alzheimer's disease in blood plasma

Comparison of proteomic approaches used for the detection of potential biomarkers of Alzheimer's disease in blood plasma

Comparison of the techniques for isolating immunoassay-suitable proteins from heterogeneous fecal samples

Strategies for Effective Development of Ultra-Sensitive LC–MS/MS Assays: Application to a Novel STING Agonist

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