CE‐MS‐based serum fingerprinting to track evolution of type 2 diabetes mellitus

Ciborowski, Michał; Adamska, Edyta; Rusak, Małgorzata; Godzień, Joanna; Wilk, Juliusz; Citko, Anna; Bauer, Witold; Górska, Maria; Krętowski, Adam

doi:10.1002/elps.201500021

Cited by 25 publications

(18 citation statements)

References 32 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…). Interestingly, AA are increased in blood of T2DM patients , whilst in the present study we observed their decrease in AH of diabetics. Similar phenomenon can be noticed for other group of metabolites closely related to T2DM, acylcarnitines.…”

Section: Resultscontrasting

confidence: 54%

An exploratory LC‐MS‐based metabolomics study reveals differences in aqueous humor composition between diabetic and non‐diabetic patients with cataract

et al. 2018

Self Cite

View full text Add to dashboard Cite

Cataract is the leading cause of blindness worldwide. Epidemiological studies revealed up to a fivefold increased prevalence of cataracts in diabetic subjects. Metabolomics is nowadays frequently implemented to understand pathophysiological processes responsible for disease occurrence and progression. It has also been used recently to study the metabolic composition of aqueous humor (AH). AH is a transparent fluid which fills the anterior and posterior chambers of the eye. It supplies nutrients and removes metabolic waste from avascular tissues in the eye. The aim of this study was to use metabolomics to compare the AH of diabetic and non-diabetic patients undergoing cataract surgery. Several antioxidants (methyltetrahydrofolic acid, taurine, niacinamide, xanthine, and uric acid) were found decreased (-22 to -61%, p-value 0.05-0.003) in AH of diabetics. Also amino acids (AA) and derivatives were found decreased (-21 to -36%, p-value 0.05-0.01) while glycosylated AA increased (+75-98%, p-value 0.03-0.009) in this group of patients. Metformin was detected in AH of people taking this drug. To our knowledge, this is the first metabolomics study aiming to assess differences in AH composition between diabetic and non-diabetic patients with cataract. An increased oxidative stress and perturbations in amino acid metabolism in AH may be responsible for earlier cataract onset in diabetic patients.

show abstract

Section: Resultscontrasting

confidence: 54%

An exploratory LC‐MS‐based metabolomics study reveals differences in aqueous humor composition between diabetic and non‐diabetic patients with cataract

et al. 2018

Self Cite

View full text Add to dashboard Cite

show abstract

“…The analyte/sheathliquid mass flow rates ratio determines analyte dilution and influences the sensitivity of the analysis. The sheath‐flow interfaces with several μL/min flow rates represent very powerful tools for extensive clinical and biological studies due to a reasonable robustness and reproducible results at interlaboratory level . However, the use of low sheath‐flow interfacing with electrokinetically pumped sheathliquid is on its rise nowadays.…”

Section: Development Of Methodology and Instrumentationmentioning

confidence: 99%

“…CE‐MS methodologies have been developed for metabolomic profiling at various research and diagnostic areas: discovery of diagnostic biomarkers of early stages of Alzheimer's disease in serum ; discovery of potential hepatocellular carcinoma biomarkers in serum ; metabolomic approach to study mechanism of action and resistance of miltefosine (hexadecylphosphocholine) in Leishmaniasis to obtain a broad picture of metabolic changes in the parasite ; investigation of potential biomarkers of fatigue identified by plasma metabolome analysis in rats as a model method for the clinical diagnosis of chronic fatigue in humans ; metabolomic identification of biomarker pattern for early diagnosis of hepatocellular carcinoma ; quantitative metabolome profiling of the kynurenine pathway in influenza‐associated encephalopathy in serum ; serum fingerprinting to track evolution of type 2 diabetes mellitus . Kok et al.…”

Section: Analytical Applicationsmentioning

confidence: 99%

Recent advances in CE‐MS coupling: Instrumentation, methodology, and applications

2016

View full text Add to dashboard Cite

This review focuses on the latest development of microseparation electromigration methods in capillaries and microfluidic devices coupled with MS for detection and identification of important analytes. It is a continuation of the review article on the same topic by Kleparnik (Electrophoresis 2015, 36, 159-178). A wide selection of 161 relevant articles covers the literature published from June 2014 till May 2016. New improvements in the instrumentation and methodology of MS interfaced with capillary or microfluidic versions of zone electrophoresis, isotachophoresis, and isoelectric focusing are described in detail. The most frequently implemented MS ionization methods include electrospray ionization, matrix-assisted desorption/ionization and inductively coupled plasma ionization. Although the main attention is paid to the development of instrumentation and methodology, representative examples illustrate also applications in the proteomics, glycomics, metabolomics, biomarker research, forensics, pharmacology, food analysis, and single-cell analysis. The combinations of MS with capillary versions of electrochromatography, and micellar electrokinetic chromatography are not included.

show abstract

“…Importantly, CE also gives complementary information to HILIC [13], as well as, significantly better peak shape in many cases. It is therefore not surprising that CE-MS has already been considered for multiple metabolomics studies covering several applications, from aging [19], amino acid analysis [20,21] [46][47][48][49][50][51][52][53], CVD [54][55][56][57][58], diabetes [59][60][61][62][63][64][65], lifestyle [61][62][63][64][65][66][67][68][69][70][71], kidney disease [72,73], liver disease [74][75][76][77][78][79][80][81][82], the microbiome [83][84]…”

Section: Current Advantages and Biotechnology Applicationsmentioning

confidence: 99%

Capillary electrophoresis mass spectrometry based metabolomics

Buko¹

2017

J Appl Bioanal

View full text Add to dashboard Cite

IntroductionSince its first formal definition more than a decade ago, metabolomics, or, the comprehensive analysis of all metabolites present within a biological system, has attracted growing interest in clinical research by academia, industry and government labs. This is most prevalent in biomarker and drug development applications where a considerable change has been witnessed in how new diagnoses, prognoses, and therapeutic options are being discovered and developed using omic technologies. Moreover, many chronic diseases suggest a strong metabolic involvement or even a clear metabolic cause, including cancer. Together with the other omic disciplines, including genomics and proteomics, metabolomics plays a key role in the implementation of personalized medicine; evidence-based medicine designed for individually designed healthcare strategies. In turn, biomarker discovery and the understanding of biochemical pathways typically rely on a multimodal approach. Among these modalities, there continues to be a growing interest in CE-MS based development and implementation in clinical development. Formulating the problemDepending on how you classify the metabolome, there is a complex chemical space separated by hydrophilicity, polarity and size, excluding a broad range of metabolites classified as lipids, separately referred to as lipidomics. This class of metabolites also covers a large range of physical properties for which specifically designed platforms work the best. For example, for years liquid chromatography-mass spectrometry (LC-MS) has been used to capture a host of hydrophilic and hydrophobic metabolites, while gas chromatography-mass spectrometry (GC-MS) has been used to capture small molecular weight metabolites. For this review, the metabolome refers to endogenous molecules with a molecular weight typically less than 1000 Kd. To measure, catalogue, and compare the entirety of the metabolic space, the implementation of comprehensive mass spectral databases was needed (e.g., Human Metab- Because of this diversity in physical properties and size of the metabolome in biological systems, there has been a need for the development of several analytical protocols based on different chromatographic methods to select specific subgroups of metabolites based on these different chemical properties beyond the technical capabilities of LC-MS and GC-MS. These new methods have their own advantages for selecting specific types of molecules: lipids, nucleotides, aminoacids or steroids. Nonmass spectrometric methods such as nuclear magnetic resonance (NMR) and non-chromatographic methods such as matrix-assisted laser desorption-time of flight (MALDI-TOF) imaging are successfully being used for selected metabolomic analyses. The focus of this review is recent publications that use CE-MS to extend the polar metabolome beyond what is observed by LC-MS and GC-MS. Metabolomics -current methods

show abstract

CE‐MS‐based serum fingerprinting to track evolution of type 2 diabetes mellitus

Cited by 25 publications

References 32 publications

An exploratory LC‐MS‐based metabolomics study reveals differences in aqueous humor composition between diabetic and non‐diabetic patients with cataract

An exploratory LC‐MS‐based metabolomics study reveals differences in aqueous humor composition between diabetic and non‐diabetic patients with cataract

Recent advances in CE‐MS coupling: Instrumentation, methodology, and applications

Capillary electrophoresis mass spectrometry based metabolomics

Contact Info

Product

Resources

About