Linda Kortz

Rapid quantification of steroid patterns in human serum by on-line solid phase extraction combined with liquid chromatography-triple quadrupole linear ion trap mass spectrometry.

BACKGROUND The determination of steroids is important for the diagnosis and monitoring of endocrine diseases and infertility workup. We developed a rapid and reliable mass spectrometric method for the simultaneous quantification of steroid patterns in human serum. METHODS An on-line solid phase extraction (SPE)-liquid chromatography-triple quadrupole linear ion trap (LC-QTrap) method utilizing atmospheric pressure chemical ionization was developed. Following protein precipitation of 100 microL serum, on-line SPE and chromatographic separation was performed for 13 steroids in 1.8 min. Analytes were confirmed by the characteristic fragment patterns. RESULTS The total run time of the method was 4 min. Detection limits ranged between 0.02 microg/L (testosterone) and 9 microg/L (dehydroepiandrosterone sulfate). The method was linear up to 7000 microg/L for dehydroepiandrosterone sulfate, 500 microg/L for cortisol, 125 microg/L for 11-deoxycortisol, and 25 microg/L for aldosterone, 17-hydroxyprogesterone, progesterone, testosterone, androstenedione and beta-estradiol, respectively. Accuracy ranged between 80 and 114%. Between-day variance at three different concentration levels was <15%. Excellent correlations with immunoassays were observed for testosterone, cortisol and beta-estradiol with Pearsons correlation coefficient r=0.967, 0.963, and 0.998, respectively. CONCLUSION The novel on-line SPE-LC-MS/QTrap platform offers a very fast, reliable, and sensitive quantification of steroid patterns and fulfils the quality criteria for routine laboratory application.

LC-MS-based metabolomics in the clinical laboratory.

The analysis of metabolites in human body fluids remains a challenge because of their chemical diversity and dynamic concentration range. Liquid chromatography (LC) in combination with tandem mass spectrometry (MS/MS) offers a robust, reliable, and economical methodology for quantitative single metabolite analysis and profiling of complete metabolite classes of a biological specimen over a broad dynamic concentration range. The application of LC-MS/MS based metabolomic approaches in clinical applications aims at both, the improvement of diagnostic sensitivity and specificity by profiling a metabolite class instead of a single metabolite analysis, and the identification of new disease specific biomarkers. In the present paper we discuss recent advances in method development for LC-MS/MS analysis of lipids, carbohydrates, amino acids and biogenic amines, vitamins and organic acids with focus on human body fluids. In this context an overview on recent LC-MS/MS based metabolome studies for cancer, diabetes and coronary heart disease is presented.

Fast liquid chromatography–quadrupole linear ion trap-mass spectrometry analysis of polyunsaturated fatty acids and eicosanoids in human plasma ☆

Profiling of polyunsaturated fatty acids (PUFAs) and their oxidized metabolites, mainly eicosanoids, in human plasma by fast liquid chromatography-mass spectrometry is described. Sample preparation involved protein precipitation of 200μL plasma followed by on-line solid-phase extraction. 7 PUFAs and 94 oxidized metabolites were separated utilizing a C-18 column packed with 2.6μm core-shell particles in 7min. The analytes and deuterium-labeled standards were detected via scheduled multiple reaction monitoring transitions (123 sMRM). Simultaneously, linear ion trap fragment spectra were acquired for confirmation, if necessary. The lower limit of quantitation ranged between 200 and 1000ng/mL for the PUFAs and 10-1000pg/mL for the metabolites. The method was applied to a study on plasma samples from 50 healthy subjects.

Fast liquid chromatography combined with mass spectrometry for the analysis of metabolites and proteins in human body fluids.

In the last decade various analytical strategies have been established to enhance separation speed and efficiency in high performance liquid chromatography applications. Chromatographic supports based on monolithic material, small porous particles, and porous layer beads have been developed and commercialized to improve throughput and separation efficiency. This paper provides an overview of current developments in fast chromatography combined with mass spectrometry for the analysis of metabolites and proteins in clinical applications. Advances and limitations of fast chromatography for the combination with mass spectrometry are discussed. Practical aspects of, recent developments in, and the present status of high-throughput analysis of human body fluids for therapeutic drug monitoring, toxicology, clinical metabolomics, and proteomics are presented.

Liquid chromatography-tandem mass spectrometry for the analysis of eicosanoids and related lipids in human biological matrices: a review.

Today, there is an increasing number of liquid chromatography tandem-mass spectrometric (LC-MS/MS) methods for the analysis of eicosanoids and related lipids in biological matrices. An overview of currently applied LC-MS/MS methods is given with attention to sample preparation strategies, chromatographic separation including ultra high performance liquid chromatography (UHPLC) and chiral separation, as well as to mass spectrometric detection using multiple reacting monitoring (MRM). Further, the application in recent clinical research is reviewed with focus on preanalytical aspects prior to LC-MS/MS analysis as well as applications in major diseases of Western civilization including respiratory diseases, diabetes, cancer, liver diseases, atherosclerosis, and neurovascular diseases.

Effect of biobanking conditions on short-term stability of biomarkers in human serum and plasma.

Abstract Background: Liquid biobanking is an important tool for laboratory diagnostics in routine settings and clinical studies. However, the current knowledge about adequate storage conditions for different classes of biomarkers is incomplete and, in part, contradictory. Here, we performed a comprehensive study on the effects of different storage conditions on the stability of various biomarkers in human serum and plasma. Methods: Serum and citrated plasma were aliquoted and stored at 4 °C, –20 °C, –80 °C, and <–130 °C for 0, 7, 30, and 90 days, respectively (5–10 pools/condition). Additionally, frozen aliquots were temporarily exposed to higher temperatures during storage to simulate removing individual samples. Stability was tested for 32 biomarkers from 10 different parameter classes (electrolytes, enzymes, metabolites, inert proteins, complement factors, ketone bodies, hormones, cytokines, coagulation factors, and sterols). Results: Biobanking at –80 °C and <–130 °C for up to 90 days did not lead to substantial changes (defined as >3 interassay coefficients of variation and p<0.01) of any biomarker concentration. In contrast, storage at 4 °C and –20 °C induced substantial changes in single biomarker concentrations in most classes. Such substantial changes were increases (<20%) in electrolytes, metabolites, and proteins, and decreases (<96%) in enzymes, ketone bodies, cytokines, and coagulation factors. Biomarker stability was minimally affected by occasional short-term thermal exposure. Conclusions: Based on these results, we provide recommendations for storage conditions of up to 90 days for several biomarkers. Generally, storage at ≤–80 °C for at least 90 days including occasional short-term thermal exposure is an excellent storage condition for most biomarkers.

Sepsis-associated changes of the arachidonic acid metabolism and their diagnostic potential in septic patients*

Objectives: Sepsis-associated changes of the arachidonic acid metabolism and the utility of arachidonic acid metabolites for the diagnosis of sepsis have been poorly investigated so far. Therefore, the primary objective of our study was to screen for differentially regulated arachidonic acid metabolites in septic patients using a lipopolysaccharide whole-blood model and to investigate their diagnostic potential. Design: Prospective, observational, single-center, clinical study. Setting: Intensive care unit at University Hospital Leipzig. Patients: Thirty-five patients (first cohort 25 patients, second cohort 10 patients) meeting the criteria for severe sepsis or septic shock were enrolled. Eighteen healthy volunteers (first cohort 15 subjects, second cohort 3 subjects) were enrolled as controls. Interventions: None. Measurements and Main Results: Arachidonic acid and its metabolites were investigated in supernatants of nonactivated (baseline) and lipopolysaccharide-activated heparinized whole blood of healthy subjects (n = 15) and septic patients (n = 25) by solid phase extraction and subsequent liquid chromatography-tandem mass spectrometry. Arachidonic acid, arachidonic acid analogues, and the cyclooxygenase-associated metabolites prostaglandin E2, 11-hydroxyeicosatetraenoic acid, and thromboxane B2 were identified as differentiating metabolites between septic patients and healthy subjects. Some of these compounds, including arachidonic acid, its analogues, and the cyclooxygenase metabolites prostaglandin E2 and thromboxane B2 differed at baseline. The inducibility of arachidonic acid and the cyclooxygenase metabolites 11-hydroxyeicosatetraenoic and prostaglandin E2 were reduced by 80% to 90% in septic patients. The degree of the inducibility was associated with severity of sepsis and clinical outcome. A reduced inducibility of COX-2 but preserved inducibility of mPGES-1 on gene expression level were confirmed in an independent cohort of septic patients (n = 10) by quantitative reverse-transcription polymerase chain reaction compared to healthy controls (n = 3). Conclusions: Arachidonic acid metabolism is markedly affected in patients with sepsis. Our data suggest that the analysis of arachidonic acid metabolites in an in vitro whole blood activation model may be a promising approach for risk estimation in septic patients that has to be further evaluated in subsequent large-scale clinical studies.

Preclinical challenges in steroid analysis of human samples.

Preclinical challenges in the analysis of steroid hormones are primarily determined by biological factors involved in the physiology and pathophysiology of hormone secretion. Major biologically influencing factors like age, sex, pubertal stage, pregnancy, phase of the menstruation, and diurnal rhythm have to be considered in the definition of reference ranges for steroids and their clinical interpretation. Hitherto, in clinical routine laboratories steroids were mainly determined by direct immunoassays applied on automated platforms, which are simple, rapid and cheap if a high number of samples are measured. However, technical factors like cross-reactivity of related steroid metabolites or limited analytical ranges have to be taken in account and may impair accuracy and precision of these direct methods. The actual development of mass spectrometry based analytical platforms for the determination of single steroid or steroid patterns seems to be an alternative analytical approach combining multi-parametric analysis, high sensitivity and specificity as well simple sample pre-treatment, robustness and low running costs for steroid analysis. This short review will give an overview about biological influencing factors and technical disturbing factors of routinely used immunoassay for the analysis of steroids. The application of LC-MS/MS as an alternative routine high-throughput platform for steroid analysis and its perspective role in the standardization and harmonisation of steroid measurements in clinical routine application will be discussed.

Quantification of seven apolipoproteins in human plasma by proteotypic peptides using fast LC-MS/MS.

We investigated different sample pretreatment strategies and developed a standardized sample pretreatment protocol for absolute quantification of seven apolipoproteins (Apos) in human serum by LC‐MS/MS using proteotypic peptides and corresponding stable isotope‐labeled peptides as internal standards.

Metabolomics of Dietary Fatty Acid Restriction in Patients with Phenylketonuria

Background Patients with phenylketonuria (PKU) have to follow a lifelong phenylalanine restricted diet. This type of diet markedly reduces the intake of saturated and unsaturated fatty acids especially long chain polyunsaturated fatty acids (LC-PUFA). Long-chain saturated fatty acids are substrates of mitochondrial fatty acid oxidation for acetyl-CoA production. LC-PUFA are discussed to affect inflammatory and haemostaseological processes in health and disease. The influence of the long term PKU diet on fatty acid metabolism with a special focus on platelet eicosanoid metabolism has been investigated in the study presented here. Methodology/Principal Findings 12 children with PKU under good metabolic control and 8 healthy controls were included. Activated fatty acids (acylcarnitines C6–C18) in dried blood and the cholesterol metabolism in serum were analyzed by liquid chromatographic tandem mass spectrometry (LC-MS/MS). Fatty acid composition of plasma glycerophospholipids was determined by gas chromatography. LC-PUFA metabolites were analyzed in supernatants by LC-MS/MS before and after platelet activation and aggregation using a standardized protocol. Patients with PKU had significantly lower free carnitine and lower activated fatty acids in dried blood compared to controls. Phytosterols as marker of cholesterol (re-) absorption were not influenced by the dietary fatty acid restriction. Fatty acid composition in glycerophospholipids was comparable to that of healthy controls. However, patients with PKU showed significantly increased concentrations of y-linolenic acid (C18:3n-6) a precursor of arachidonic acid. In the PKU patients significantly higher platelet counts were observed. After activation with collagen platelet aggregation and thromboxane B2 and thromboxane B3 release did not differ from that of healthy controls. Conclusion/Significance Long-term dietary fatty acid restriction influenced the intermediates of mitochondrial beta-oxidation. No functional influence on unsaturated fatty acid metabolism and platelet aggregation in patients with PKU was detected.