Simultaneous analysis by capillary electrophoresis of five amyloid peptides as potential biomarkers of Alzheimer's disease

We report here a CE method for the separation and quantitation of five amyloid peptides (Abeta1-42, 1-40, 1-39, 1-38, and 1-37) considered as potential biomarkers of Alzheimer's disease. These amyloid peptides have very similar structures. Sample preparation and storage conditions are critical parameters to ensure their solubility and to avoid the aggregation process in particular for Abeta1-42. Their solubility was found fully dependent on the NH(4)OH concentration that was employed initially to dissolve the lyophilized amyloid peptides. Conditions to achieve a full separation of these peptides were found using a dynamic coating with 1,4-diaminobutane (DAB). The linear decrease of their electrophoretic mobility highlighted an ion-pairing phenomenon between the peptides and DAB. The optimal background electrolyte was a 40 mM borate buffer, pH 9 containing 3 mM of DAB. Under these conditions, resolutions ranged from 1.3 to 2.4 with theoretical plates reaching 300,000. Under the retained conditions, we showed that adsorption of peptides to silica was negligible (recovery over 94.5%) and depletion effect of the background electrolyte was overcome. The method was finally validated in terms of linearity and repeatability and the limits of detection for the five Abeta peptides were estimated. The inter-day repeatability of the migration times was very satisfactory with RSDs less than 1.55%. The RSDs of the peak areas were below 5%. With this CE-UV method, limits of detection of the peptides ranged from 300 to 500 nM. We finally demonstrated that this method can be applied to real biological samples such as CSF.     

MALDI-TOF and cluster-TOF-SIMS imaging of Fabry disease biomarkers

Fabry disease is an X-linked disorder of glycosphingolipid metabolism, in which a partial or total deficiency of α-galactosidase A, a lysosomal enzyme, results in the progressive accumulation of neutral glycosphingolipids (globotriaosylceramide and digalactosylceramide) in most fluids and tissues of the body. Few information is available about the composition and distribution in tissues of the accumulated glycosphingolipids species. Mass spectrometry imaging is an innovative technique, which can provide pieces of information about the distribution of numerous biological compounds, such as lipids, directly on the tissue sections. MALDI-TOF and cluster-TOF-SIMS imaging approaches were used to study the localization of lipids (cholesterol, cholesterol sulfate, vitamin E, glycosphingolipids …) on skin and kidney sections of patients affected by the Fabry disease. Numerous information on pathophysiology were enlightened by both techniques.     

Carbohydrate biomarkers for future disease detection and treatment

Carbohydrates are considered as one of the most important classes of biomarkers for cell types,disease states,protein functions,and developmental states.Carbohydratebindersthat can specifically recognize a carbohydrate biomarker can be used for developing novel types of site specific delivery methods and imaging agents.In this review,we present selected examples of important carbohydrate biomarkers and how they can be targeted for the development of therapeutic and diagnostic agents.Examples are arranged ba...     

Liquid chromatography/tandem mass spectrometry characterization of oxidized amyloid beta peptides as potential biomarkers of Alzheimer's disease

Alzheimer's disease is characterized by the deposition of senile plaques that consist primarily of amyloid beta peptides. There is substantial evidence that amyloid beta is oxidized in vivo, which has led to the suggestion that oxidative stress is an important mediator of Alzheimer's disease. Metal-catalyzed oxidation can mimic in vivo oxidation of amyloid beta because the metal ion binds to the amino acid residues at the site of oxidation, which then deliver reactive oxygen species to that site. Based on electrospray mass spectrometry, it has been suggested that metal-catalyzed oxidation occurs on histidines-13 and -14. Unfortunately, the amyloid beta peptides provide complex spectra, so it is difficult to definitively characterize the sites of oxidation. Trypsin digestion of both native and oxidized amyloid beta1-16 and amyloid beta1-40 resulted in the formation of tryptic peptides corresponding to amyloid beta6-16, which could be separated by liquid chromatography (LC). Sites of oxidation were then unequivocally characterized as histidine-13 and histidine-14 by LC/tandem mass spectrometric (MS/MS) analysis of the tryptic peptides. The ability to analyze the specific amyloid beta6-16 tryptic fragments derived from full-length amyloid beta peptides will make it possible to determine whether oxidation in vivo occurs at specific histidine residues and/or at other amino acid residues such as methionine-35. Using methodology based on LC/MS/MS it will also be possible to analyze the relative amounts of oxidized peptides and native peptide in cerebrospinal fluid from patients with Alzheimer's disease as biomarkers of oxidative stress.     

Electrochemical analysis of nucleic acids as potential cancer biomarkers

In recent years, a huge progress has been made regarding the development of electrochemical (EC) assays for detection of nucleic acids — DNA or RNA — as potential cancer biomarkers. Various ingenious strategies for determination of DNA methylation of gene promoters, circulating tumor DNAs, viral nucleic acids, or short noncoding microRNAs were presented, many of them showing remarkable sensitivities. However, a majority of these assays were not applied into clinical samples from patients, which is crucial should the electrochemistry compete with conventional, routinely used techniques. In this review, we critically evaluate strengths and weaknesses of EC assays that recognized this necessity and successfully determined endogenous DNA or RNA in patient samples with various forms of tumors.     

Application of NMR metabolomics to search for human disease biomarkers

Since antiquity, humans have used body fluids like saliva, urine and sweat for the diagnosis of diseases. The amount, color and smell of body fluids are still used in many traditional medical practices to evaluate an illness and make a diagnosis. The development and application of analytical methods for the detailed analysis of body fluids has led to the discovery of numerous disease biomarkers. Recently, mass spectrometry (MS), nuclear magnetic resonance spectroscopy (NMR), and multivariate statistical techniques have been incorporated into a multidisciplinary approach to profile changes in small molecules associated with the onset and progression of human diseases. The goal of these efforts is to identify metabolites that are uniquely correlated with a specific human disease in order to accurately diagnose and treat the malady. In this review we will discuss recent developments in sample preparation, experimental techniques, the identification and quantification of metabolites, and the chemometric tools used to search for biomarkers of human diseases using NMR.     

Serum exosomal microRNAs as novel biomarkers for hepatocellular carcinoma

Recent studies have shown that circulating microRNAs are a potential biomarker in various types of malignancies. The aim of this study was to investigate the feasibility of using serum exosomal microRNAs as novel serological biomarkers for hepatocellular carcinoma (HCC) in patients with chronic hepatitis B (CHB). We measured the serum exosomal microRNAs and serum circulating microRNAs in patients with CHB (n=20), liver cirrhosis (LC) (n=20) and HCC (n=20). Serum exosomal microRNA was extracted from 500 μl of serum using an Exosome RNA Isolation kit. The expression levels of microRNAs were quantified by real-time PCR. The expression levels of selected microRNAs were normalized to Caenorhabditis elegans microRNA (Cel-miR-39). The serum levels of exosomal miR-18a, miR-221, miR-222 and miR-224 were significantly higher in patients with HCC than those with CHB or LC (P<0.05). Further, the serum levels of exosomal miR-101, miR-106b, miR-122 and miR-195 were lower in patients with HCC than in patients with CHB (P=0.014, P<0.001, P<0.001 and P<0.001, respectively). There was no significant difference in the levels of miR-21 and miR-93 among the three groups. Additionally, the serum levels of circulating microRNAs showed a smaller difference between HCC and either CHB or LC. This study suggests that serum exosomal microRNAs may be used as novel serological biomarkers for HCC.     

Mammalian plasma membrane proteins as potential biomarkers and drug targets

Defining the plasma membrane proteome is crucial to understand the role of plasma membrane in fundamental biological processes. Change in membrane proteins is one of the first events that take place under pathological conditions, making plasma membrane proteins a likely source of potential disease biomarkers with prognostic or diagnostic potential. Membrane proteins are also potential targets for monoclonal antibodies and other drugs that block receptors or inhibit enzymes essential to the disease progress. Despite several advanced methods recently developed for the analysis of hydrophobic proteins and proteins with posttranslational modifications, integral membrane proteins are still under-represented in plasma membrane proteome. Recent advances in proteomic investigation of plasma membrane proteins, defining their roles as diagnostic and prognostic disease biomarkers and as target molecules in disease treatment, are presented.     

Novel lipid hydroperoxide-derived hemoglobin histidine adducts as biomarkers of oxidative stress

Hemoglobin (Hb) adducts have long been used as dosimeters of exposure to xenobiotics and endogenously formed reactive metabolites. In this study, hemoglobin chains were separated from each other and their prosthetic heme groups and reacted with 4-oxo-2-nonenal, a major breakdown product of lipid hydroperoxides. The adducts were characterized by matrix-assisted laser desorption/ionization-mass spectrometry (MALDI-TOF/MS) analysis of the intact proteins and by a combination of liquid chromatography/electrospray ionization/tandem MS (MS/MS) and MALDI-TOF/MS/MS analysis of the tryptic peptides. Covalent modifications were found on both hemoglobin chains. The location was determined to be on H20 of the alpha-hemoglobin chain and on H(63) of the beta-hemoglobin chain. Molecular modeling revealed that these two residues were two most solvent accessible H residues present in intact Hb. The proposed reaction mechanism is based on that described for the reaction of 4-hydroxy-2-nonenal with proteins. Initial nucleophilic Michael addition is followed by hydration of the resulting aldehyde, cyclization, and two sequential dehydration reactions to give stable furan derivatives. This results in the addition of 136 Da from 4-oxo-2-nonenal to give adducts corresponding to (17)VGAH(.) AGEYGAEALER(31) from alpha-hemoglobin and (62)AH(.) GK(65) from beta-hemoglobin. These hemoglobin modifications can potentially serve as biomarkers of lipid hydroperoxide-mediated macromolecule damage and may reflect an indirect measurement of the potential for DNA damage in vivo.     

Light‐Regulated MicroRNAs

In addition to exposure to passive diurnal cycles of sunlight, humans are also subjected to intentional acute exposure to other types of electromagnetic radiation (EM). Understanding the molecular mechanisms involved in the physiological, pathological and therapeutic responses to exposure to radiation is an active area of research. With the advent of methods to readily catalog and identify patterns of changes in gene expression, many studies have reported changes in gene expression upon exposure of various human and mouse cells in vitro, whole experimental organisms such as mice and parts of human body. However, the molecular mechanisms underlying these broad ranging changes in gene expression are not yet fully understood. MicroRNAs, which are short, noncoding RNAs that regulate gene expression by targeting many messenger RNAs, are also emerging as important mediators of radiation‐induced changes in gene expression and hence critical for the manifestation of light‐induced cellular phenotypes and physiological responses. In this article, we review available knowledge on microRNAs implicated in responses to various forms of solar and other EM radiation. Based on this knowledge, we elaborate some unifying themes in the regulation and functions of some of these miRNAs.     

Urine biomarkers discovery by metabolomics and machine learning for Parkinson's disease diagnoses

Parkinson’s disease(PD) is a complex neurological disorder that typically worsens with age. A wide range of pathologies makes PD a very heterogeneous condition, and there are currently no reliable diagnostic tests for this disease. The application of metabolomics to the study of PD has the potential to identify disease biomarkers through the systematic evaluation of metabolites. In this study, urine metabolic profiles of 215 urine samples from 104 PD patients and 111 healthy individuals were ass...     

Enantioselective separation of amino acids as biomarkers indicating life in extraterrestrial environments

Traces of prebiotic amino acids, i.e., the building blocks of proteins, are excellent biomarkers that could provide evidence of extinct or extant life in extra-terrestrial environments. In particular, characterization of the enantiomeric excess of amino acids gives relevant information about the biotic or abiotic origin of molecules, because it is generally assumed that life elsewhere could be based on either l or d amino acids, but not both. The analytical procedures used in in-situ space missions for chiral discrimination of amino acids must meet severe requirements imposed by flight conditions: short analysis time, low energy consumption, robustness, storage for long periods under extreme conditions, high efficiency and sensitivity, automation, and remote-control operation. Such methods are based on gas chromatography, high-pressure liquid chromatography, and capillary electrophoresis, usually coupled with mass spectrometry; of these, gas chromatography–mass spectrometry (GC–MS) is the only such combination yet used in space missions. Preliminary in-situ sample derivatization is required before GC–MS analysis to convert amino acids into volatile and thermally stable compounds. The silylation reagent most commonly used, N-(tert-butyldimethylsilyl)-N-methyltrifluoroacetamide, is unsuitable for detection of homochirality, and alternative derivatization techniques have been developed that preserve the stereochemical configuration of the original compounds and are compatible with spaceflight conditions. These include the reagent N,N-dimethylformamide dimethylacetal, which has already been used in the Rosetta mission, a mixture of alkyl chloroformate, ethanol, and pyridine, a mixture of perfluorinated anhydrides and perfluoro alcohols, and hexafluoroacetone, the first gaseous derivatizing agent. In all the space instruments, solvent extraction of organic matter and chemical derivatization have been combined in a single automatic and remote-controlled procedure in a chemical reactor. Liquid-based separation systems have been used in space missions. In particular, microchip capillary electrophoresis, based on microfluidic lab-on-a-chip systems, enables high-performance chemical analysis of amino acids with low mass and volume equipment and low power and reagent consumption. Coupling with laser-induced fluorescence detectors results in ultra-low limits of detection. This critical review describes applications of the on-board instruments used in the Rosetta mission to comets and in the more recent Mars exploration program, i.e., the Mars Science Laboratory and ExoMars missions.

Chiral separation of disease biomarkers with 2‐hydroxycarboxylic acid structure

Chiral 2‐hydroxycarboxylic acids are compounds that have been linked to particular diseases and are putative biomarkers with some diagnostic potential. The importance of identifying whether a particular enantiomer is related to certain diseases has been encouraged recently. However, in many cases it has not yet been elucidated whether there are stereochemical implications with respect to these biomarkers and whether their enantioselective analysis provides new insights and diagnostic potential. In this study 13 disease‐related chiral 2‐hydrocarboxylic acids were studied for their chiral separation by high‐performance liquid chromatography on three cinchona alkaloid‐derived chiral stationary phases. From a subgroup of eight 2‐hydroxymonocarboxylic acids, baseline resolution could be achieved and inversion of elution order by exchanging tert‐butylcarbamoyl quinidine chiral stationary phase (Chiralpak QD‐AX) for the corresponding quinine analogue (Chiralpak QN‐AX) is shown for seven of them. Furthermore, conditions for chiral separation of the 2‐hydroxydicarboxylic acids, citramalic acid, 2‐isopropylmalic acid, and 2‐hydroxyadipic acid are reported and compared to the previous reported conditions for 2‐hydroxyglutaric acid and malic acid.     

Exploring the value of pleural fluid biomarkers for complementary pleural effusion disease examination

ObjectivePleural fluid biomarkers are beneficial for the complementary diagnosis of pleural effusion etiologies. This study focuses on the multidimensional evaluation of deep learning to investigate the pleural effusion biomarkers value and the diagnostic utility of combining these markers, in distinguishing pleural effusion etiologies.MethodsPleural effusion were divided into three groups according to the diagnosis and treatment guidelines: malignant pleural effusion (MPE), parapneumonic effusion (PPE), and congestive heart failure (CHF). First, the value of the biomarker was analyzed by a receiver operating characteristic (ROC) curve. Then by utilizing deep learning and entropy weight method (EWM), the clinical value of biomarkers was computed multidimensionally for complementary diagnosis of pleural effusion diseases.ResultsThere were significant differences in the six biomarkers, TP, ADA, CEA, CYFRA211, NSE, MNC% (p < 0.05) and no significant differences in three physical characteristics including color, transparency, specific gravity and six other biomarkers such as WBC, PNC%, MTC%, pH level, GLU, LDH (p > 0.05) among the three pleural effusion groups. The comprehensive test of pleural fluid biomarkers based on deep learning is of high accuracy. The clinical value of cytomorphology biomarkers WBC, MNC %, PNC %, MTC % was higher among pleural fluid biomarkers.ConclusionThe clinical value of multi-dimensional analysis of biomarkers by deep learning and entropy weight method is different from the ROC curve analysis. It is suggested that during the clinical examination process, more attention should be paid to the cell morphology biomarkers, but the physical properties of the pleural fluid are less clinical significance.     

UPLC-MS/MS detection of disaccharides derived from glycosaminoglycans as biomarkers of mucopolysaccharidoses

Mucopolysaccharidoses (MPSs) are a group of disorders resulting from primary defects in lysosomal enzymes involved in the degradation of glycosaminoglycans (GAGs). Depending on the specific enzyme defect, the catabolism of one or more GAGs is blocked leading to accumulation in tissues and biological fluids. GAG measurements are important for high-risk screening, diagnosis, monitoring treatment efficacy, and patient follow up. The dimethylmethylene blue (DMB) spectrophotometric method commonly used in most biochemical genetics laboratories relies on a non-specific total GAG analysis which has led to false positive results, and even false negative results (mainly for MPS III and IV patients). The main objective of our project was to devise and validate a reliable tandem mass spectrometry multiplex analysis for the urine quantitation of four GAGs (dermatan sulfate (DS), heparan sulfate (HS), keratan sulfate (KS), and chondroitin sulfate (CS)) for an eventual technological transfer to the clinic. The developed methodology is rapid (7 min) and our results showed good intraday and interday precision (RSDs ≤ 8.7%) and accuracy (Biases range: −12.0%–18.4%). Linearity was good (r² > 0.995) for DS, HS, CS, and KS calibration curves. In comparison with the DMB spectrophotometric method, this multiplex tandem mass spectrometry method allows GAG fractionation, thus a differentiation of MPS types, except for MPS I and II which are characterized by the same GAG profile. The devised method is a useful and reliable tool for diagnosis of MPS patients, as well as their monitoring and follow up, as shown by longitudinal studies.